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kernels_V3.c
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/********************************************************
* Performance Lab: kenels.c
********************************************************/
#include <stdio.h>
#include <stdlib.h>
#include "defs.h"
/*
* Please fill in the following team struct
*/
team_t team = {
"林清泉", /* 姓名 */
"SZ170110314", /* 学号 */
};
/***************
* ROTATE KERNEL
***************/
/******************************************************
* Your different versions of the rotate kernel go here
******************************************************/
/*
* naive_rotate - The naive baseline version of rotate
*/
char naive_rotate_descr[] = "naive_rotate: Naive baseline implementation";
void naive_rotate(int dim, pixel *src, pixel *dst)
{
int i, j;
for (i = 0; i < dim; i++)
for (j = 0; j < dim; j++)
dst[RIDX(dim-1-j, i, dim)] = src[RIDX(i, j, dim)];
}
/*
* rotate - Your current working version of rotate
* IMPORTANT: This is the version you will be graded on
*/
char rotate_descr[] = "rotate: Current working version";
void rotate(int dim, pixel *src, pixel *dst)
{
// naive_rotate(dim, src, dst);
//分块,目的是提高Cache命中率
//消除循环的低效率,循环展开
//减少过程调用
//消除不必要的寄存器引用
// int t,t1,t2,t3,t4,t5,t6,t7,t8,t9,t10,t11,t12,t13,t14,t15,t16,t17,t18,t19,t20,t21,t22,t23,t24,t25,t26,t27,t28,t29,t30,t31;
int block = 32;
int i, j, k = 0;
int ii, jj;
for (ii = 0; ii < dim; ii += block) {
// t = ii+0, t1 = ii+1,t2=ii+2,t3=ii+3,t4=ii+4,t5=ii+5,t6=ii+6,t7=ii+7;
// t8=ii+8,t9=ii+9,t10=ii+10,t11=ii+11,t12=ii+12,t13=ii+13,t14=ii+14,t15=ii+15;
// t16=ii+16,t17=ii+17,t18=ii+18,t19=ii+19,t20=ii+20,t21=ii+21,t22=ii+22,t23=ii+23;
// t24=ii+24,t25=ii+25,t26=ii+26,t27=ii+27,t28=ii+28,t29=ii+29,t30=ii+30,t31=ii+31;
for (jj = 0; jj < dim; jj++) {
// for (int k = 0; k < block; ++k) {
dst[RIDX(dim-1-jj, ii+k, dim)] = src[RIDX(ii+k, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+1, dim)] = src[RIDX(ii+k+1, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+2, dim)] = src[RIDX(ii+k+2, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+3, dim)] = src[RIDX(ii+k+3, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+4, dim)] = src[RIDX(ii+k+4, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+5, dim)] = src[RIDX(ii+k+5, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+6, dim)] = src[RIDX(ii+k+6, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+7, dim)] = src[RIDX(ii+k+7, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+8, dim)] = src[RIDX(ii+k+8, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+9, dim)] = src[RIDX(ii+k+9, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+10, dim)] = src[RIDX(ii+k+10, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+11, dim)] = src[RIDX(ii+k+11, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+12, dim)] = src[RIDX(ii+k+12, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+13, dim)] = src[RIDX(ii+k+13, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+14, dim)] = src[RIDX(ii+k+14, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+15, dim)] = src[RIDX(ii+k+15, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+16, dim)] = src[RIDX(ii+k+16, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+17, dim)] = src[RIDX(ii+k+17, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+18, dim)] = src[RIDX(ii+k+18, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+19, dim)] = src[RIDX(ii+k+19, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+20, dim)] = src[RIDX(ii+k+20, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+21, dim)] = src[RIDX(ii+k+21, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+22, dim)] = src[RIDX(ii+k+22, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+23, dim)] = src[RIDX(ii+k+23, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+24, dim)] = src[RIDX(ii+k+24, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+25, dim)] = src[RIDX(ii+k+25, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+26, dim)] = src[RIDX(ii+k+26, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+27, dim)] = src[RIDX(ii+k+27, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+28, dim)] = src[RIDX(ii+k+28, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+29, dim)] = src[RIDX(ii+k+29, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+30, dim)] = src[RIDX(ii+k+30, jj, dim)];
dst[RIDX(dim-1-jj, ii+k+31, dim)] = src[RIDX(ii+k+31, jj, dim)];
// dst[RIDX(dim-1-jj, t, dim)] = src[RIDX(t, jj, dim)];
// dst[RIDX(dim-1-jj, t1, dim)] = src[RIDX(t1, jj, dim)];
// dst[RIDX(dim-1-jj, t2, dim)] = src[RIDX(t2, jj, dim)];
// dst[RIDX(dim-1-jj, t3, dim)] = src[RIDX(t3, jj, dim)];
// dst[RIDX(dim-1-jj, t4, dim)] = src[RIDX(t4, jj, dim)];
// dst[RIDX(dim-1-jj, t5, dim)] = src[RIDX(t5, jj, dim)];
// dst[RIDX(dim-1-jj, t6, dim)] = src[RIDX(t6, jj, dim)];
// dst[RIDX(dim-1-jj, t7, dim)] = src[RIDX(t7, jj, dim)];
// dst[RIDX(dim-1-jj, t8, dim)] = src[RIDX(t8, jj, dim)];
// dst[RIDX(dim-1-jj, t9, dim)] = src[RIDX(t9, jj, dim)];
// dst[RIDX(dim-1-jj, t10, dim)] = src[RIDX(t10, jj, dim)];
// dst[RIDX(dim-1-jj, t11, dim)] = src[RIDX(t11, jj, dim)];
// dst[RIDX(dim-1-jj, t12, dim)] = src[RIDX(t12, jj, dim)];
// dst[RIDX(dim-1-jj, t13, dim)] = src[RIDX(t13, jj, dim)];
// dst[RIDX(dim-1-jj, t14, dim)] = src[RIDX(t14, jj, dim)];
// dst[RIDX(dim-1-jj, t15, dim)] = src[RIDX(t15, jj, dim)];
// dst[RIDX(dim-1-jj, t16, dim)] = src[RIDX(t16, jj, dim)];
// dst[RIDX(dim-1-jj, t17, dim)] = src[RIDX(t17, jj, dim)];
// dst[RIDX(dim-1-jj, t18, dim)] = src[RIDX(t18, jj, dim)];
// dst[RIDX(dim-1-jj, t19, dim)] = src[RIDX(t19, jj, dim)];
// dst[RIDX(dim-1-jj, t20, dim)] = src[RIDX(t20, jj, dim)];
// dst[RIDX(dim-1-jj, t21, dim)] = src[RIDX(t21, jj, dim)];
// dst[RIDX(dim-1-jj, t22, dim)] = src[RIDX(t22, jj, dim)];
// dst[RIDX(dim-1-jj, t23, dim)] = src[RIDX(t23, jj, dim)];
// dst[RIDX(dim-1-jj, t24, dim)] = src[RIDX(t24, jj, dim)];
// dst[RIDX(dim-1-jj, t25, dim)] = src[RIDX(t25, jj, dim)];
// dst[RIDX(dim-1-jj, t26, dim)] = src[RIDX(t26, jj, dim)];
// dst[RIDX(dim-1-jj, t27, dim)] = src[RIDX(t27, jj, dim)];
// dst[RIDX(dim-1-jj, t28, dim)] = src[RIDX(t28, jj, dim)];
// dst[RIDX(dim-1-jj, t29, dim)] = src[RIDX(t29, jj, dim)];
// dst[RIDX(dim-1-jj, t30, dim)] = src[RIDX(t30, jj, dim)];
// dst[RIDX(dim-1-jj, t31, dim)] = src[RIDX(t31, jj, dim)];
// dst[RIDX(dim-1-jj, ii+k, dim)] = src[RIDX(ii+k, jj, dim)];
// dst[(dim-1-jj)*dim+ii+k] = src[(ii+k)*dim+jj];
// *(dst+RIDX(dim-1-jj, ii+k, dim)) = *(src+RIDX(ii+k, jj, dim));
// *(dst+(dim-1-jj)*dim+ii+k) = *(src+(ii+k)*dim+jj);
// }
}
}
// for (ii = 0; ii < dim; ii += block) {
// for (jj = 0; jj < dim; jj += block) {
// for (i = ii; i < ii + block; i++) {
// for (j = jj; j < jj + block; j++) {
// // dst[RIDX(dim-1-j, i, dim)] = src[RIDX(i, j, dim)];
// // dst[RIDX(dim-1-j-1, i, dim)] = src[RIDX(i, j+1, dim)];
// // dst[RIDX(dim-1-j-2, i, dim)] = src[RIDX(i, j+2, dim)];
// // dst[RIDX(dim-1-j-3, i, dim)] = src[RIDX(i, j+3, dim)];
// // dst[RIDX(dim-1-j, i+1, dim)] = src[RIDX(i+1, j, dim)];
// // dst[RIDX(dim-1-j-1, i+1, dim)] = src[RIDX(i+1, j+1, dim)];
// // dst[RIDX(dim-1-j-2, i+1, dim)] = src[RIDX(i+1, j+2, dim)];
// // dst[RIDX(dim-1-j-3, i+1, dim)] = src[RIDX(i+1, j+3, dim)];
// // dst[RIDX(dim-1-j, i+2, dim)] = src[RIDX(i+2, j, dim)];
// // dst[RIDX(dim-1-j-1, i+2, dim)] = src[RIDX(i+2, j+1, dim)];
// // dst[RIDX(dim-1-j-2, i+2, dim)] = src[RIDX(i+2, j+2, dim)];
// // dst[RIDX(dim-1-j-3, i+2, dim)] = src[RIDX(i+2, j+3, dim)];
// // dst[RIDX(dim-1-j, i+3, dim)] = src[RIDX(i+3, j, dim)];
// // dst[RIDX(dim-1-j-1, i+3, dim)] = src[RIDX(i+3, j+1, dim)];
// // dst[RIDX(dim-1-j-2, i+3, dim)] = src[RIDX(i+3, j+2, dim)];
// // dst[RIDX(dim-1-j-3, i+3, dim)] = src[RIDX(i+3, j+3, dim)];
// dst[RIDX(dim-1-i, j, dim)] = src[RIDX(j, i, dim)];
// // dst[RIDX(dim-1-i, j+1, dim)] = src[RIDX(j+1, i, dim)];
// // dst[RIDX(dim-1-i, j+2, dim)] = src[RIDX(j+2, i, dim)];
// // dst[RIDX(dim-1-i, j+3, dim)] = src[RIDX(j+3, i, dim)];
// // dst[RIDX(dim-1-i-1, j, dim)] = src[RIDX(j, i+1, dim)];
// // dst[RIDX(dim-1-i-1, j+1, dim)] = src[RIDX(j+1, i+1, dim)];
// // dst[RIDX(dim-1-i-1, j+2, dim)] = src[RIDX(j+2, i+1, dim)];
// // dst[RIDX(dim-1-i-1, j+3, dim)] = src[RIDX(j+3, i+1, dim)];
// // dst[RIDX(dim-1-i-2, j, dim)] = src[RIDX(j, i+2, dim)];
// // dst[RIDX(dim-1-i-2, j+1, dim)] = src[RIDX(j+1, i+2, dim)];
// // dst[RIDX(dim-1-i-2, j+2, dim)] = src[RIDX(j+2, i+2, dim)];
// // dst[RIDX(dim-1-i-2, j+3, dim)] = src[RIDX(j+3, i+2, dim)];
// // dst[RIDX(dim-1-i-3, j, dim)] = src[RIDX(j, i+3, dim)];
// // dst[RIDX(dim-1-i-3, j+1, dim)] = src[RIDX(j+1, i+3, dim)];
// // dst[RIDX(dim-1-i-3, j+2, dim)] = src[RIDX(j+2, i+3, dim)];
// // dst[RIDX(dim-1-i-3, j+3, dim)] = src[RIDX(j+3, i+3, dim)];
// // dst[(dim-1-i)*dim+j] = src[j*dim+i];
// }
// }
// }
// }
}
/*********************************************************************
* register_rotate_functions - 通过为每一个测试函数调用add_rotate_function(),
* 登记你所有不同版本的旋转代码到评测程序driver中，
* 当你运行driver程序时，它将测试并且给出每一个已经登记的测试函数的性能。
*********************************************************************/
void register_rotate_functions()
{
add_rotate_function(&naive_rotate, naive_rotate_descr);
add_rotate_function(&rotate, rotate_descr);
/* ... Register additional test functions here */
}
/***************
* SMOOTH KERNEL
**************/
/***************************************************************
* Various typedefs and helper functions for the smooth function
* You may modify these any way you like.
**************************************************************/
/* A struct used to compute averaged pixel value */
typedef struct {
int red;
int green;
int blue;
int num;
} pixel_sum;
/* Compute min and max of two integers, respectively */
static inline int min(int a, int b) { return (a < b ? a : b); }
static inline int max(int a, int b) { return (a > b ? a : b); }
/*
* initialize_pixel_sum - Initializes all fields of sum to 0
*/
static void initialize_pixel_sum(pixel_sum *sum)
{
sum->red = sum->green = sum->blue = 0;
sum->num = 0;
return;
}
/*
* accumulate_sum - Accumulates field values of p in corresponding
* fields of sum
*/
static void accumulate_sum(pixel_sum *sum, pixel p)
{
sum->red += (int) p.red;
sum->green += (int) p.green;
sum->blue += (int) p.blue;
sum->num++;
return;
}
/*
* assign_sum_to_pixel - Computes averaged pixel value in current_pixel
*/
static void assign_sum_to_pixel(pixel *current_pixel, pixel_sum sum)
{
current_pixel->red = (unsigned short) (sum.red/sum.num);
current_pixel->green = (unsigned short) (sum.green/sum.num);
current_pixel->blue = (unsigned short) (sum.blue/sum.num);
return;
}
/*
* avg - Returns averaged pixel value at (i,j)
*/
static pixel avg(int dim, int i, int j, pixel *src)
{
int ii, jj;
pixel_sum sum;
pixel current_pixel;
initialize_pixel_sum(&sum);
for(ii = max(i-1, 0); ii <= min(i+1, dim-1); ii++)
for(jj = max(j-1, 0); jj <= min(j+1, dim-1); jj++)
accumulate_sum(&sum, src[RIDX(ii, jj, dim)]);
assign_sum_to_pixel(¤t_pixel, sum);
return current_pixel;
}
/******************************************************
* Your different versions of the smooth kernel go here
******************************************************/
/*
* naive_smooth - The naive baseline version of smooth
*/
char naive_smooth_descr[] = "naive_smooth: Naive baseline implementation";
void naive_smooth(int dim, pixel *src, pixel *dst)
{
int i, j;
for (i = 0; i < dim; i++)
for (j = 0; j < dim; j++)
dst[RIDX(i, j, dim)] = avg(dim, i, j, src);
}
/*
* smooth - Your current working version of smooth.
* IMPORTANT: This is the version you will be graded on
*/
char smooth_descr[] = "smooth: Current working version";
int pre_R[555][555], pre_G[555][555], pre_B[555][555];
typedef struct{
int r, g, b;
}Pix;
Pix pp[555][555];
void smooth(int dim, pixel *src, pixel *dst)
{
// naive_smooth(dim, src, dst);
// 预处理,计算矩阵的前缀和f[i][j]表示从(0,0)-(i-1,j-1)全部元素的和
// dp[i][j] = dp[i-1][j] + dp[i][j-1] - dp[i-1][j-1] + data[i-1][j-1]
int i, j;
//左上
// dst[0].red = (src[RIDX(0,1,dim)].red + src[RIDX(1,0,dim)].red + src[RIDX(0,0,dim)].red + src[RIDX(1,1,dim)].red) >> 2;
// dst[0].green = (src[RIDX(0,1,dim)].green + src[RIDX(1,0,dim)].green + src[RIDX(0,0,dim)].green + src[RIDX(1,1,dim)].green) >> 2;
// dst[0].blue = (src[RIDX(0,1,dim)].blue + src[RIDX(1,0,dim)].blue + src[RIDX(0,0,dim)].blue + src[RIDX(1,1,dim)].blue) >> 2;
int oo = dim + 1;
dst[0].red = (src[1].red + src[dim].red + src[0].red + src[oo].red) >> 2;
dst[0].green = (src[1].green + src[dim].green + src[0].green + src[oo].green) >> 2;
dst[0].blue = (src[1].blue + src[dim].blue + src[0].blue + src[oo].blue) >> 2;
//右上
// dst[dim-1].red = (src[RIDX(0,dim-1,dim)].red + src[RIDX(0,dim-2,dim)].red + src[RIDX(1,dim-1,dim)].red + src[RIDX(1,dim-2,dim)].red) >> 2;
// dst[dim-1].green = (src[RIDX(0,dim-1,dim)].green + src[RIDX(0,dim-2,dim)].green + src[RIDX(1,dim-1,dim)].green + src[RIDX(1,dim-2,dim)].green) >> 2;
// dst[dim-1].blue = (src[RIDX(0,dim-1,dim)].blue + src[RIDX(0,dim-2,dim)].blue + src[RIDX(1,dim-1,dim)].blue + src[RIDX(1,dim-2,dim)].blue) >> 2;
int oo1 = 2*dim-1;
int oo2 = oo1 - 1;;
dst[dim-1].red = (src[dim-1].red + src[dim-2].red + src[oo1].red + src[oo2].red) >> 2;
dst[dim-1].green = (src[dim-1].green + src[dim-2].green + src[oo1].green + src[oo2].green) >> 2;
dst[dim-1].blue = (src[dim-1].blue + src[dim-2].blue + src[oo1].blue + src[oo2].blue) >> 2;
//左下
int ss = dim*dim-dim;
int ss1 = ss - dim, ss2 = ss + 1;
int ss3 = ss1 + 1;
// dst[RIDX(dim-1, 0, dim)].red = (src[RIDX(dim-1,0,dim)].red + src[RIDX(dim-2,0,dim)].red + src[RIDX(dim-1,1,dim)].red + src[RIDX(dim-2,1,dim)].red) >> 2;
// dst[RIDX(dim-1, 0, dim)].green = (src[RIDX(dim-1,0,dim)].green + src[RIDX(dim-2,0,dim)].green + src[RIDX(dim-1,1,dim)].green + src[RIDX(dim-2,1,dim)].green) >> 2;
// dst[RIDX(dim-1, 0, dim)].blue = (src[RIDX(dim-1,0,dim)].blue + src[RIDX(dim-2,0,dim)].blue + src[RIDX(dim-1,1,dim)].blue + src[RIDX(dim-2,1,dim)].blue) >> 2;
dst[ss].red = (src[ss].red + src[ss1].red + src[ss2].red + src[ss3].red) >> 2;
dst[ss].green = (src[ss].green + src[ss1].green + src[ss2].green + src[ss3].green) >> 2;
dst[ss].blue = (src[ss].blue + src[ss1].blue + src[ss2].blue + src[ss3].blue) >> 2;
//右下
ss += (dim - 1);
ss1 += (dim - 1);
ss2 = ss - 1;
ss3 = ss1 - 1;
// dst[RIDX(dim-1, dim-1, dim)].red = (src[RIDX(dim-1,dim-1,dim)].red + src[RIDX(dim-2,dim-1,dim)].red + src[RIDX(dim-1,dim-2,dim)].red + src[RIDX(dim-2,dim-2,dim)].red) >> 2;
// dst[RIDX(dim-1, dim-1, dim)].green = (src[RIDX(dim-1,dim-1,dim)].green + src[RIDX(dim-2,dim-1,dim)].green + src[RIDX(dim-1,dim-2,dim)].green + src[RIDX(dim-2,dim-2,dim)].green) >> 2;
// dst[RIDX(dim-1, dim-1, dim)].blue = (src[RIDX(dim-1,dim-1,dim)].blue + src[RIDX(dim-2,dim-1,dim)].blue + src[RIDX(dim-1,dim-2,dim)].blue + src[RIDX(dim-2,dim-2,dim)].blue) >> 2;
dst[ss].red = (src[ss].red + src[ss1].red + src[ss2].red + src[ss3].red) >> 2;
dst[ss].green = (src[ss].green + src[ss1].green + src[ss2].green + src[ss3].green) >> 2;
dst[ss].blue = (src[ss].blue + src[ss1].blue + src[ss2].blue + src[ss3].blue) >> 2;
//第一行
for (i = 1; i < dim-1; i += 2) {
// dst[RIDX(0,i,dim)].red = (pre_R[2][i+2] - pre_R[2][i-1]) / 6;
// dst[RIDX(0,i,dim)].green = (pre_G[2][i+2] - pre_G[2][i-1]) / 6;
// dst[RIDX(0,i,dim)].blue = (pre_B[2][i+2] - pre_B[2][i-1]) / 6;
// dst[RIDX(0,i+1,dim)].red = (pre_R[2][i+3] - pre_R[2][i]) / 6;
// dst[RIDX(0,i+1,dim)].green = (pre_G[2][i+3] - pre_G[2][i]) / 6;
// dst[RIDX(0,i+1,dim)].blue = (pre_B[2][i+3] - pre_B[2][i]) / 6;
int cc = i, cc1 = i +1;
// dst[cc].red = (pp[2][i+2].r - pp[2][i-1].r) / 6;
// dst[cc].green = (pp[2][i+2].g - pp[2][i-1].g) / 6;
// dst[cc].blue = (pp[2][i+2].b - pp[2][i-1].b) / 6;
// dst[RIDX(0,i,dim)].red = (src[RIDX(0,i-1,dim)].red + src[RIDX(0,i,dim)].red + src[RIDX(0,i+1,dim)].red + src[RIDX(1,i-1,dim)].red + src[RIDX(1,i,dim)].red + src[RIDX(1,i+1,dim)].red) / 6;
// dst[RIDX(0,i,dim)].green = (src[RIDX(0,i-1,dim)].green + src[RIDX(0,i,dim)].green + src[RIDX(0,i+1,dim)].green + src[RIDX(1,i-1,dim)].green + src[RIDX(1,i,dim)].green + src[RIDX(1,i+1,dim)].green) / 6;
// dst[RIDX(0,i,dim)].blue = (src[RIDX(0,i-1,dim)].blue + src[RIDX(0,i,dim)].blue + src[RIDX(0,i+1,dim)].blue + src[RIDX(1,i-1,dim)].blue + src[RIDX(1,i,dim)].blue + src[RIDX(1,i+1,dim)].blue) / 6;
// dst[RIDX(0,i+1,dim)].red = (src[RIDX(0,i,dim)].red + src[RIDX(0,i+1,dim)].red + src[RIDX(0,i+2,dim)].red + src[RIDX(1,i,dim)].red + src[RIDX(1,i+1,dim)].red + src[RIDX(1,i+2,dim)].red) / 6;
// dst[RIDX(0,i+1,dim)].green = (src[RIDX(0,i,dim)].green + src[RIDX(0,i+1,dim)].green + src[RIDX(0,i+2,dim)].green + src[RIDX(1,i,dim)].green + src[RIDX(1,i+1,dim)].green + src[RIDX(1,i+2,dim)].green) / 6;
// dst[RIDX(0,i+1,dim)].blue = (src[RIDX(0,i,dim)].blue + src[RIDX(0,i+1,dim)].blue + src[RIDX(0,i+2,dim)].blue + src[RIDX(1,i,dim)].blue + src[RIDX(1,i+1,dim)].blue + src[RIDX(1,i+2,dim)].blue) / 6;
dst[cc].red = (src[RIDX(0,i-1,dim)].red + src[RIDX(0,i,dim)].red + src[RIDX(0,i+1,dim)].red + src[RIDX(1,i-1,dim)].red + src[RIDX(1,i,dim)].red + src[RIDX(1,i+1,dim)].red) / 6;
dst[cc].green = (src[RIDX(0,i-1,dim)].green + src[RIDX(0,i,dim)].green + src[RIDX(0,i+1,dim)].green + src[RIDX(1,i-1,dim)].green + src[RIDX(1,i,dim)].green + src[RIDX(1,i+1,dim)].green) / 6;
dst[cc].blue = (src[RIDX(0,i-1,dim)].blue + src[RIDX(0,i,dim)].blue + src[RIDX(0,i+1,dim)].blue + src[RIDX(1,i-1,dim)].blue + src[RIDX(1,i,dim)].blue + src[RIDX(1,i+1,dim)].blue) / 6;
dst[cc1].red = (src[RIDX(0,i,dim)].red + src[RIDX(0,i+1,dim)].red + src[RIDX(0,i+2,dim)].red + src[RIDX(1,i,dim)].red + src[RIDX(1,i+1,dim)].red + src[RIDX(1,i+2,dim)].red) / 6;
dst[cc1].green = (src[RIDX(0,i,dim)].green + src[RIDX(0,i+1,dim)].green + src[RIDX(0,i+2,dim)].green + src[RIDX(1,i,dim)].green + src[RIDX(1,i+1,dim)].green + src[RIDX(1,i+2,dim)].green) / 6;
dst[cc1].blue = (src[RIDX(0,i,dim)].blue + src[RIDX(0,i+1,dim)].blue + src[RIDX(0,i+2,dim)].blue + src[RIDX(1,i,dim)].blue + src[RIDX(1,i+1,dim)].blue + src[RIDX(1,i+2,dim)].blue) / 6;
}
//最后一行
for (i = 1; i < dim-1; i+=2) {
// dst[RIDX(dim-1,i,dim)].red = (pre_R[dim][i+2] - pre_R[dim-2][i+2] - pre_R[dim][i-1] + pre_R[dim-2][i-1]) / 6;
// dst[RIDX(dim-1,i,dim)].green = (pre_G[dim][i+2] - pre_G[dim-2][i+2] - pre_G[dim][i-1] + pre_G[dim-2][i-1]) / 6;
// dst[RIDX(dim-1,i,dim)].blue = (pre_B[dim][i+2] - pre_B[dim-2][i+2] - pre_B[dim][i-1] + pre_B[dim-2][i-1]) / 6;
int ll = (dim-1)*dim+i;
int ll1 = ll + 1;
// dst[ll].red = (pp[dim][i+2].r - pp[dim-2][i+2].r - pp[dim][i-1].r + pp[dim-2][i-1].r) / 6;
// dst[ll].green = (pp[dim][i+2].g - pp[dim-2][i+2].g - pp[dim][i-1].g + pp[dim-2][i-1].g) / 6;
// dst[ll].blue = (pp[dim][i+2].b - pp[dim-2][i+2].b - pp[dim][i-1].b + pp[dim-2][i-1].b) / 6;
// dst[ll].red = (src[RIDX(dim-1,i-1,dim)].red + src[RIDX(dim-1,i,dim)].red + src[RIDX(dim-1,i+1,dim)].red + src[RIDX(dim-2,i-1,dim)].red + src[RIDX(dim-2,i,dim)].red + src[RIDX(dim-2,i+1,dim)].red) / 6;
// dst[ll].green = (src[RIDX(dim-1,i-1,dim)].green + src[RIDX(dim-1,i,dim)].green + src[RIDX(dim-1,i+1,dim)].green + src[RIDX(dim-2,i-1,dim)].green + src[RIDX(dim-2,i,dim)].green + src[RIDX(dim-2,i+1,dim)].green) / 6;
// dst[ll].blue = (src[RIDX(dim-1,i-1,dim)].blue + src[RIDX(dim-1,i,dim)].blue + src[RIDX(dim-1,i+1,dim)].blue + src[RIDX(dim-2,i-1,dim)].blue + src[RIDX(dim-2,i,dim)].blue + src[RIDX(dim-2,i+1,dim)].blue) / 6;
dst[ll].red = (src[RIDX(dim-1,i-1,dim)].red + src[RIDX(dim-1,i,dim)].red + src[RIDX(dim-1,i+1,dim)].red + src[RIDX(dim-2,i-1,dim)].red + src[RIDX(dim-2,i,dim)].red + src[RIDX(dim-2,i+1,dim)].red) / 6;
dst[ll].green = (src[RIDX(dim-1,i-1,dim)].green + src[RIDX(dim-1,i,dim)].green + src[RIDX(dim-1,i+1,dim)].green + src[RIDX(dim-2,i-1,dim)].green + src[RIDX(dim-2,i,dim)].green + src[RIDX(dim-2,i+1,dim)].green) / 6;
dst[ll].blue = (src[RIDX(dim-1,i-1,dim)].blue + src[RIDX(dim-1,i,dim)].blue + src[RIDX(dim-1,i+1,dim)].blue + src[RIDX(dim-2,i-1,dim)].blue + src[RIDX(dim-2,i,dim)].blue + src[RIDX(dim-2,i+1,dim)].blue) / 6;
dst[ll1].red = (src[RIDX(dim-1,i,dim)].red + src[RIDX(dim-1,i+1,dim)].red + src[RIDX(dim-1,i+2,dim)].red + src[RIDX(dim-2,i,dim)].red + src[RIDX(dim-2,i+1,dim)].red + src[RIDX(dim-2,i+2,dim)].red) / 6;
dst[ll1].green = (src[RIDX(dim-1,i,dim)].green + src[RIDX(dim-1,i+1,dim)].green + src[RIDX(dim-1,i+2,dim)].green + src[RIDX(dim-2,i,dim)].green + src[RIDX(dim-2,i+1,dim)].green + src[RIDX(dim-2,i+2,dim)].green) / 6;
dst[ll1].blue = (src[RIDX(dim-1,i,dim)].blue + src[RIDX(dim-1,i+1,dim)].blue + src[RIDX(dim-1,i+2,dim)].blue + src[RIDX(dim-2,i,dim)].blue + src[RIDX(dim-2,i+1,dim)].blue + src[RIDX(dim-2,i+2,dim)].blue) / 6;
// (dst+RIDX(dim-1,i,dim))->red = (pre_R[dim][i+2] - pre_R[dim-2][i+2] - pre_R[dim][i-1] + pre_R[dim-2][i-1]) / 6;
// (dst+RIDX(dim-1,i,dim))->green = (pre_G[dim][i+2] - pre_G[dim-2][i+2] - pre_G[dim][i-1] + pre_G[dim-2][i-1]) / 6;
// (dst+RIDX(dim-1,i,dim))->blue = (pre_B[dim][i+2] - pre_B[dim-2][i+2] - pre_B[dim][i-1] + pre_B[dim-2][i-1]) / 6;
}
//第一列
for (i = 1; i < dim-1; i += 2) {
// dst[RIDX(i,0,dim)].red = (pre_R[i+2][2] - pre_R[i-1][2]) / 6;
// dst[RIDX(i,0,dim)].green = (pre_G[i+2][2] - pre_G[i-1][2]) / 6;
// dst[RIDX(i,0,dim)].blue = (pre_B[i+2][2] - pre_B[i-1][2]) / 6;
int yy = i*dim;
int yy1 = yy + dim;
// dst[yy].red = (pp[i+2][2].r - pp[i-1][2].r) / 6;
// dst[yy].green = (pp[i+2][2].g - pp[i-1][2].g) / 6;
// dst[yy].blue = (pp[i+2][2].b - pp[i-1][2].b) / 6;
// dst[yy].red = (src[RIDX(i-1,0,dim)].red + src[RIDX(i,0,dim)].red + src[RIDX(i+1,0,dim)].red + src[RIDX(i-1,1,dim)].red + src[RIDX(i,1,dim)].red + src[RIDX(i+1,1,dim)].red) / 6;
// dst[yy].green = (src[RIDX(i-1,0,dim)].green + src[RIDX(i,0,dim)].green + src[RIDX(i+1,0,dim)].green + src[RIDX(i-1,1,dim)].green + src[RIDX(i,1,dim)].green + src[RIDX(i+1,1,dim)].green) / 6;
// dst[yy].blue = (src[RIDX(i-1,0,dim)].blue + src[RIDX(i,0,dim)].blue + src[RIDX(i+1,0,dim)].blue + src[RIDX(i-1,1,dim)].blue + src[RIDX(i,1,dim)].blue + src[RIDX(i+1,1,dim)].blue) / 6;
dst[yy].red = (src[RIDX(i-1,0,dim)].red + src[RIDX(i,0,dim)].red + src[RIDX(i+1,0,dim)].red + src[RIDX(i-1,1,dim)].red + src[RIDX(i,1,dim)].red + src[RIDX(i+1,1,dim)].red) / 6;
dst[yy].green = (src[RIDX(i-1,0,dim)].green + src[RIDX(i,0,dim)].green + src[RIDX(i+1,0,dim)].green + src[RIDX(i-1,1,dim)].green + src[RIDX(i,1,dim)].green + src[RIDX(i+1,1,dim)].green) / 6;
dst[yy].blue = (src[RIDX(i-1,0,dim)].blue + src[RIDX(i,0,dim)].blue + src[RIDX(i+1,0,dim)].blue + src[RIDX(i-1,1,dim)].blue + src[RIDX(i,1,dim)].blue + src[RIDX(i+1,1,dim)].blue) / 6;
dst[yy1].red = (src[RIDX(i,0,dim)].red + src[RIDX(i+1,0,dim)].red + src[RIDX(i+2,0,dim)].red + src[RIDX(i,1,dim)].red + src[RIDX(i+1,1,dim)].red + src[RIDX(i+2,1,dim)].red) / 6;
dst[yy1].green = (src[RIDX(i,0,dim)].green + src[RIDX(i+1,0,dim)].green + src[RIDX(i+2,0,dim)].green + src[RIDX(i,1,dim)].green + src[RIDX(i+1,1,dim)].green + src[RIDX(i+2,1,dim)].green) / 6;
dst[yy1].blue = (src[RIDX(i,0,dim)].blue + src[RIDX(i+1,0,dim)].blue + src[RIDX(i+2,0,dim)].blue + src[RIDX(i,1,dim)].blue + src[RIDX(i+1,1,dim)].blue + src[RIDX(i+2,1,dim)].blue) / 6;
// (dst+RIDX(i,0,dim))->red = (pre_R[i+2][2] - pre_R[i-1][2]) / 6;
// (dst+RIDX(i,0,dim))->green = (pre_G[i+2][2] - pre_G[i-1][2]) / 6;
// (dst+RIDX(i,0,dim))->blue = (pre_B[i+2][2] - pre_B[i-1][2]) / 6;
}
//最后一列
for (i = 1; i < dim-1; i += 2) {
// dst[RIDX(i,dim-1,dim)].red = (pre_R[i+2][dim] - pre_R[i-1][dim] - pre_R[i+2][dim-2] + pre_R[i-1][dim-2]) / 6;
// dst[RIDX(i,dim-1,dim)].green = (pre_G[i+2][dim] - pre_G[i-1][dim] - pre_G[i+2][dim-2] + pre_G[i-1][dim-2]) / 6;
// dst[RIDX(i,dim-1,dim)].blue = (pre_B[i+2][dim] - pre_B[i-1][dim] - pre_B[i+2][dim-2] + pre_B[i-1][dim-2]) / 6;
int uu = i*dim+dim-1;
int uu1 = (i+1)*dim+dim-1;
// dst[uu].red = (pp[i+2][dim].r - pp[i-1][dim].r - pp[i+2][dim-2].r + pp[i-1][dim-2].r) / 6;
// dst[uu].green = (pp[i+2][dim].g - pp[i-1][dim].g - pp[i+2][dim-2].g + pp[i-1][dim-2].g) / 6;
// dst[uu].blue = (pp[i+2][dim].b - pp[i-1][dim].b - pp[i+2][dim-2].b + pp[i-1][dim-2].b) / 6;
// dst[uu].red = (src[RIDX(i-1,dim-1,dim)].red + src[RIDX(i,dim-1,dim)].red + src[RIDX(i+1,dim-1,dim)].red + src[RIDX(i-1,dim-2,dim)].red + src[RIDX(i,dim-2,dim)].red + src[RIDX(i+1,dim-2,dim)].red) / 6;
// dst[uu].green = (src[RIDX(i-1,dim-1,dim)].green + src[RIDX(i,dim-1,dim)].green + src[RIDX(i+1,dim-1,dim)].green + src[RIDX(i-1,dim-2,dim)].green + src[RIDX(i,dim-2,dim)].green + src[RIDX(i+1,dim-2,dim)].green) / 6;
// dst[uu].blue = (src[RIDX(i-1,dim-1,dim)].blue + src[RIDX(i,dim-1,dim)].blue + src[RIDX(i+1,dim-1,dim)].blue + src[RIDX(i-1,dim-2,dim)].blue + src[RIDX(i,dim-2,dim)].blue + src[RIDX(i+1,dim-2,dim)].blue) / 6;
dst[uu].red = (src[RIDX(i-1,dim-1,dim)].red + src[RIDX(i,dim-1,dim)].red + src[RIDX(i+1,dim-1,dim)].red + src[RIDX(i-1,dim-2,dim)].red + src[RIDX(i,dim-2,dim)].red + src[RIDX(i+1,dim-2,dim)].red) / 6;
dst[uu].green = (src[RIDX(i-1,dim-1,dim)].green + src[RIDX(i,dim-1,dim)].green + src[RIDX(i+1,dim-1,dim)].green + src[RIDX(i-1,dim-2,dim)].green + src[RIDX(i,dim-2,dim)].green + src[RIDX(i+1,dim-2,dim)].green) / 6;
dst[uu].blue = (src[RIDX(i-1,dim-1,dim)].blue + src[RIDX(i,dim-1,dim)].blue + src[RIDX(i+1,dim-1,dim)].blue + src[RIDX(i-1,dim-2,dim)].blue + src[RIDX(i,dim-2,dim)].blue + src[RIDX(i+1,dim-2,dim)].blue) / 6;
dst[uu1].red = (src[RIDX(i,dim-1,dim)].red + src[RIDX(i+1,dim-1,dim)].red + src[RIDX(i+2,dim-1,dim)].red + src[RIDX(i,dim-2,dim)].red + src[RIDX(i+1,dim-2,dim)].red + src[RIDX(i+2,dim-2,dim)].red) / 6;
dst[uu1].green = (src[RIDX(i,dim-1,dim)].green + src[RIDX(i+1,dim-1,dim)].green + src[RIDX(i+2,dim-1,dim)].green + src[RIDX(i,dim-2,dim)].green + src[RIDX(i+1,dim-2,dim)].green + src[RIDX(i+2,dim-2,dim)].green) / 6;
dst[uu1].blue = (src[RIDX(i,dim-1,dim)].blue + src[RIDX(i+1,dim-1,dim)].blue + src[RIDX(i+2,dim-1,dim)].blue + src[RIDX(i,dim-2,dim)].blue + src[RIDX(i+1,dim-2,dim)].blue + src[RIDX(i+2,dim-2,dim)].blue) / 6;
// (dst+RIDX(i,dim-1,dim))->red = (pre_R[i+2][dim] - pre_R[i-1][dim] - pre_R[i+2][dim-2] + pre_R[i-1][dim-2]) / 6;
// (dst+RIDX(i,dim-1,dim))->green = (pre_G[i+2][dim] - pre_G[i-1][dim] - pre_G[i+2][dim-2] + pre_G[i-1][dim-2]) / 6;
// (dst+RIDX(i,dim-1,dim))->blue = (pre_B[i+2][dim] - pre_B[i-1][dim] - pre_B[i+2][dim-2] + pre_B[i-1][dim-2]) / 6;
}
int tmp = 0, sum_c_r1, sum_c_r2, sum_c_r3, sum_c_g1, sum_c_g2, sum_c_g3, sum_c_b1, sum_c_b2, sum_c_b3;
int col_r1, col_r2,col_r3,col_g1,col_g2,col_g3,col_b1,col_b2,col_b3;
for (i = 1; i < dim - 1; ++i) {
tmp = i*dim;
sum_c_r1 = src[RIDX(i-1,0,dim)].red + src[RIDX(i,0,dim)].red + src[RIDX(i+1,0,dim)].red;
sum_c_r2 = src[RIDX(i-1,1,dim)].red + src[RIDX(i,1,dim)].red + src[RIDX(i+1,1,dim)].red;
sum_c_g1 = src[RIDX(i-1,0,dim)].green + src[RIDX(i,0,dim)].green + src[RIDX(i+1,0,dim)].green;
sum_c_g2 = src[RIDX(i-1,1,dim)].green + src[RIDX(i,1,dim)].green + src[RIDX(i+1,1,dim)].green;
sum_c_b1 = src[RIDX(i-1,0,dim)].blue + src[RIDX(i,0,dim)].blue + src[RIDX(i+1,0,dim)].blue;
sum_c_b2 = src[RIDX(i-1,1,dim)].blue + src[RIDX(i,1,dim)].blue + src[RIDX(i+1,1,dim)].blue;
for (j = 1; j < dim - 1; j++) {
col_r1 = sum_c_r1, col_r2 = sum_c_r2, col_r3 = src[RIDX(i-1,j+1,dim)].red + src[RIDX(i,j+1,dim)].red + src[RIDX(i+1,j+1,dim)].red;
col_g1 = sum_c_g1, col_g2 = sum_c_g2, col_g3 = src[RIDX(i-1,j+1,dim)].green + src[RIDX(i,j+1,dim)].green + src[RIDX(i+1,j+1,dim)].green;
col_b1 = sum_c_b1, col_b2 = sum_c_b2, col_b3 = src[RIDX(i-1,j+1,dim)].blue + src[RIDX(i,j+1,dim)].blue + src[RIDX(i+1,j+1,dim)].blue;
dst[tmp+j].red = (col_r1 + col_r2 + col_r3) / 9;
dst[tmp+j].green = (col_g1 + col_g2 + col_g3) / 9;
dst[tmp+j].blue = (col_b1 + col_b2 + col_b3) / 9;
sum_c_r1 = col_r2, sum_c_r2 = col_r3;
sum_c_g1 = col_g2, sum_c_g2 = col_g3;
sum_c_b1 = col_b2, sum_c_b2 = col_b3;
}
}
}
/*********************************************************************
* register_smooth_functions - 通过为每一个测试函数调用add_smooth_funtion(),
* 登记所有不同版本的smooth代码到评测程序driver中。
* 当你运行driver程序时，它将测试并且给出每一个已经登记的测试函数的性能。
*********************************************************************/
void register_smooth_functions() {
add_smooth_function(&smooth, smooth_descr);
add_smooth_function(&naive_smooth, naive_smooth_descr);
/* ... Register additional test functions here */
}