scholarly journals Context-based entropy coding of block transform coefficients for image compression

2001 ◽  
Author(s):  
Chengjie Tu ◽  
Trac D. Tran
Keyword(s):  
Image Compression ◽  
Entropy Coding ◽  
Block Transform ◽  
Transform Coefficients

scholarly journals Improving Fractal Image Compression Scheme through Quantization Operation

2007 ◽  
Vol 4 (2) ◽  
pp. 330-337
Author(s):  
Baghdad Science Journal
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
New Method ◽  
Compression Scheme ◽  
Fractal Image Compression ◽  
High Image Quality ◽  
Fractal Image ◽  
Separate Step ◽  
Transform Coefficients

We explore the transform coefficients of fractal and exploit new method to improve the compression capabilities of these schemes. In most of the standard encoder/ decoder systems the quantization/ de-quantization managed as a separate step, here we introduce new way (method) to work (managed) simultaneously. Additional compression is achieved by this method with high image quality as you will see later.

Conditional entropy coding of VQ indexes for image compression

1999 ◽  
Vol 8 (8) ◽  
pp. 1005-1013 ◽  
Author(s):  
Xiaolin Wu ◽  
Jiang Wen ◽  
Wing Hung Wong
Keyword(s):  
Image Compression ◽  
Conditional Entropy ◽  
Entropy Coding

A Novel Adaptive Scanning Approach for Effective H.265/HEVC Entropy Coding

2016 ◽  
Vol 7 (4) ◽  
pp. 17-27
Author(s):  
Wei Li ◽  
Fan Zhao ◽  
Peng Ren ◽  
Zheng Xiang
Keyword(s):  
Local Property ◽  
Experimental Results ◽  
Entropy Coding ◽  
Bit Rate ◽  
Scanning Pattern ◽  
Video Coder ◽  
Content Representation ◽  
Block Transform

The block transform video coder of H.265/HEVC has been formulated for a more flexible content representation to satisfy various implementation demands. Here three coefficient-scanning methods of diagonal, horizontal and vertical scan are employed for mapping a 2-D array to a 1-D vector for further reducing redundancy in entropy coding. However, the fixation scanning pattern does not fully exploit the correlation among quantized coefficients and the coding redundancy still exists. In this paper, a new adaptive coefficient scanning (ACS) method is proposed for effective H.265/HEVC entropy coding. Here the characteristic of syntax elements of quantized coefficients is first studied and then the related context probability of symbol is estimated through combining local property. Guided by the principle of entropy coding, the scanning approach is established for higher coding performance. Experimental results demonstrate that a reduction of about 3.6%–4.2% in bit-rate can be observed with almost no loss in coding complexity.

scholarly journals Remote Sensing Image Compression Based on Direction Lifting-Based Block Transform with Content-Driven Quadtree Coding Adaptively

2018 ◽  
Vol 10 (7) ◽  
pp. 999 ◽  
Author(s):  
Cuiping Shi ◽  
Liguo Wang ◽  
Junping Zhang ◽  
Fengjuan Miao ◽  
Peng He
Keyword(s):  
Remote Sensing ◽  
Image Compression ◽  
Remote Sensing Image ◽  
Block Transform
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