The Rice coding algorithm achieves high-performance lossless and progressive image compression based on the improving of integer lifting scheme Rice coding algorithm

2006 ◽  
Author(s):  
Xie Cheng Jun ◽  
Yan Su ◽  
Zhang Wei
Keyword(s):  
Image Compression ◽  
High Performance ◽  
Lifting Scheme ◽  
Progressive Image Compression

Enhanced Three-Dimensional Color Conversion Based on Discrete Wavelet Transform

2012 ◽  
Vol 155-156 ◽  
pp. 440-444
Author(s):  
He Yan ◽  
Xiu Feng Wang
Keyword(s):  
Information Technology ◽  
Wavelet Transform ◽  
Image Reconstruction ◽  
Image Quality ◽  
Image Compression ◽  
High Performance ◽  
Three Dimensional ◽  
Discrete Wavelet ◽  
Compression Algorithms ◽  
Color Conversion

JPEG2000 algorithm has been developed based on the DWT techniques, which have shown how the results achieved in different areas in information technology can be applied to enhance the performance. Lossy image compression algorithms sacrifice perfect image reconstruction in favor of decreased storage requirements. Wavelets have become a popular technology for information redistribution for high-performance image compression algorithms. Lossy compression algorithms sacrifice perfect image reconstruction in favor of improved compression rates while minimizing image quality lossy.

Research on Image Technology with Progressive Image Compression Based on JPEG and Laplacian Pyramid

2014 ◽  
Vol 886 ◽  
pp. 650-654
Author(s):  
Bo Hao Xu ◽  
Yong Sheng Hao
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
User Experience ◽  
Image Transmission ◽  
Laplacian Pyramid ◽  
Progressive Image Transmission ◽  
User Demand ◽  
Progressive Image Compression ◽  
Compression Coding

Progressive image transmission is a kind of image technology has been widely used in various fields, it can not only save bandwidth but also improve the user experience to meet user demand for different image quality. According to user's demand for image quality, realizing the progress of image compression coding flow can meet the demand of users. This article mainly introduce by means of JPEG and Laplacian pyramid coding principle implement progressive image compression.

A New Compression Method for Bayer Color Filter Array Images

2013 ◽  
Vol 321-324 ◽  
pp. 1219-1224
Author(s):  
Bao Tang Shan ◽  
Fa Nian Wang ◽  
Juan Gao
Keyword(s):  
Image Compression ◽  
High Performance ◽  
Lossless Compression ◽  
Color Filter ◽  
Test Results ◽  
Compression Method ◽  
Sampling System ◽  
Multiple Channel ◽  
Compression Performance ◽  
Filter Array

In order to improve the compression performance of Bayer CFA images exposed continuously, a new high performance remainder set near-lossless compression method is presented. Based on channel-separated-filtering, several typical Bayer CFA image compression methods are compared with the proposed remainder set algorithm. It is proved that the remainder set algorithm has not only the better compression performance, i.e., the lower bits per pixel (average about 2.16bpp), but also the better reconstructed CFA image PSNR (average about 52.31dB). Finally, the proposed method is employed in a multiple channel CMOS image sampling system and some test results are given.

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