Title :
A novel method to improve the quality of decoded images in fractal image coding
Author :
Kun Zou;Qiang Wang;Zhaoxia Zhai
Author_Institution :
College of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China
Abstract :
In order to improve the quality of decoded images in fractal image coding, a novel method by making use of a modified image is proposed in this paper. Since the degradation of decoded images in fractal coding mainly comes from the poor self-similarity of the input image, a modified image that satisfies good self-similarity and approximates the original image well is constructed. After transforming the input image into the modified image and performing fractal coding method on it, the decoded image with higher quality can be obtained. Simulations show that compared with the conventional fractal coding method, while the same compression ratio is maintained, the proposed method can provide higher PSNR at the expense of slightly longer encoding time.
Keywords :
"Image coding","Fractals","Image reconstruction","Encoding","Degradation","Signal processing","Decoding"
Conference_Titel :
Image and Signal Processing (CISP), 2015 8th International Congress on
DOI :
10.1109/CISP.2015.7407872