IS.md

Super-resolution Imaging through High-frequency Subbands Prediction in the Wavelet Domain

Abstract

Image super-resolution techniques are used to increase the spatial resolution of digital images. In this idea we propose to use motion estimation to predict the high-frequency coefficients in the Discrete Wavelet Transform (DWT) domain, taking advantage of the correlation between low and high frequency DWT subbands.

Expected deliverables

A super-resolution image generator, that inputs a single image and outputs an image with a 2x2 magnification factor.

Knowledge prerequisites

Python, Git, Discrete Wavelet Transform, Motion Estimation.

Skill level

High

Potential mentors

1. Vicente González Ruiz.
2. Francisco Joaquín García Sobrino.

Priority

High

Room

https://gitter.im/P2PSP/Super-resolution_Imaging

Repo

https://github.com/vicente-gonzalez-ruiz/Super-resolution_Imaging

References

• https://github.com/YapengTian/Single-Image-Super-Resolution
• https://github.com/vicente-gonzalez-ruiz/image_self_similarity