Research and Progress of Image Compression Coding Based on Wavelet

2011 ◽  
Vol 403-408 ◽  
pp. 1352-1355
Author(s):  
Yue Li Cui ◽  
Zhi Gang Chen ◽  
Ai Hua Chen
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Visual System ◽  
Frequency Domain ◽  
Image Coding ◽  
Human Visual System ◽  
Original Image ◽  
Local Characteristics ◽  
Compression Coding ◽  
Research Hotspots

Image compression is a technology using as little as possible bits to represent the original image. As wavelet transform has local characteristics on the time and frequency domain, it makes up the deficiency of DCT. Moreover, its multi-resolution characteristics can easily associate with the human visual system (HVS). Besides, wavelet-based image compression is prone to combine with new image coding methods. It has become the research hotspots at present. This paper introduces wavelets theory and discusses the research status and progress of wavelet-based image compression then points out the main problems. Finally, the prospect in the future was presented.

A New Method of Scalable Image Compression Coding

2013 ◽  
Vol 380-384 ◽  
pp. 3815-3817
Author(s):  
Yan Yang
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Region Of Interest ◽  
New Method ◽  
Original Image ◽  
High Quality ◽  
Memory Space ◽  
Limited Memory ◽  
Compression Coding

This paper presents a new method of scalable image compression coding based on the wavelet transform. This method delimits the region of interest of the original image, and give a high-quality encoding to this region and a rough encoding to the rest. The result shows that in the limited memory space, this algorithm provides the coarser reconstruct image to satisfy the basal subject quality. Using this method, we can give a high quality encoding to the region for interest.

Improvement of Fractal Image Compression Coding Based on Quadtree

2012 ◽  
Vol 532-533 ◽  
pp. 1157-1161
Author(s):  
Hong Tao Hu ◽  
Qi Fei Liu
Keyword(s):  
Image Compression ◽  
Image Coding ◽  
Original Image ◽  
Fractal Image Compression ◽  
Fractal Image ◽  
Fractal Image Coding ◽  
Global Matching ◽  
Domain Block ◽  
Compression Coding

The goal of image compression is to represent an image with as few number of bits as possible while keeping the quality of the original image. With the characteristics of higher compression ratio, fractal image coding has received much attention recently. However, conventional fractal compression approach needs more time to code the original image. In order to overcome the time-consuming issue, a Quadtree-based partitioning and matching scheme is proposed. During the partitioning phase, an image frame is partitioned into tree-structural segments. And during a matching phase, a rang block only searches its corresponding domain block around previous matched domain block. Such local matching procedures will not stop until a predefined matching threshold is obtained. The preliminary experimental results show that such sub-matching rather than a global matching scheme dramatically decreases the matching complexity, while preserving the quality of an approximate image to the original after decoding process. In particular, the proposed scheme improves the coding process up to 2 times against the conventional fractal image coding approach.

Image and Video Compression: A Review

1997 ◽  
Vol 08 (01) ◽  
pp. 119-177 ◽  
Author(s):  
Christine I. Podilchuk ◽  
Robert J. Safranek
Keyword(s):  
Image Compression ◽  
Visual System ◽  
Video Compression ◽  
Image Coding ◽  
Human Visual System ◽  
Bit Rate ◽  
Low Bit Rate ◽  
Wide Range ◽  
Coding Standards ◽  
Image And Video Compression

The area of image and video compression has made tremendous progress over the last several decades. The successes in image compression are due to advances and better understanding of waveform coding methods which take advantage of the signal statistics, perceptual methods which take advantage of psychovisual properties of the human visual system (HVS) and object-based models especially for very low bit rate work. Recent years have produced several image coding standards—JPEG for still image compression and H.261, MPEG-I and MPEG-II for video compression. While we have devoted a special section in this paper to cover international coding standards because of their practical value, we have also covered a large class of nonstandard coding technology in the interest of completeness and potential future value. Very low bit rate video coding remains a challenging problem as does our understanding of the human visual system for perceptually optimum compression. The wide range of applications and bit rates, from video telephony at rates as low as 9.6 kbps to HDTV at 20 Mbps and higher, has acted as a catalyst for generating new ideas in tackling the different challenges characterized by the particular application. The area of image compression will remain an interesting and fruitful area of research as we focus on combining source coding with channel coding and multimedia networking.

Image coding using wavelet transform and human visual system

1995 ◽  
Author(s):  
Ilkyu Eom ◽  
Hyung S. Kim ◽  
Kyung S. Son ◽  
Yoon-Soo Kim ◽  
Jae H. Kim
Keyword(s):  
Wavelet Transform ◽  
Visual System ◽  
Image Coding ◽  
Human Visual System
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