Research on compressed sensing equalization algorithms

Abstract

Digital image is generally used in various fields in real life. Massive photos of rapid acquisition become an important content of the signal processing. Compressed sensing (CS) theory undersampling technology provides a new image transmission storage as well as new thought. Algorithm which obtains the image may appear halation, fuzzy, and other problems aroused by many sorts of problems. In order to meet the demand of more advanced image evaluation standard, homogenization treatment is required. This paper is aimed to improve the image quality combined with the compressed perception theory and is mainly based on the equalization algorithm.