Image Deblurring and Decomposition: Texture and Color Image Analysis

Georgia Tech Research Corporation, Atlanta GA

Investigators

Abstract

Kang 0707184 One of the recent developments of mathematical image processing is the introduction of the G-norm by Meyer, which opened the door for handling texture and oscillations. The investigator further develops these techniques for color images and blurred texture analysis. The goals of this project are to explore more sophisticated color models for image decomposition, as well as to correctly capture the texture in blurry images. The main challenge is to tackle image blind deconvolution in combination with image decomposition techniques. The investigator studies the classical problem of image deblurring in a modern setting of texture and color image analysis. Recognition of detail has become more crucial for better diagnosis of medical images and for more accurate recovery of satellite images. This project provides theoretical background for methodologies and can be applied to solve real imaging problems arising from digital photo restorations, medical imaging, communications, information science, and many other applications.