A Block-Based Still Image Coder for Parallel Computing

2012 ◽  
Author(s):  
Yu Lin Wang ◽  
Chia-Te Liao ◽  
Alvin W.Y. Su
Keyword(s):  
Parallel Computing ◽  
Still Image ◽  
Image Coder ◽  
Block Based

PECSI: A PRACTICAL PERCEPTUALLY-ENHANCED COMPRESSION FRAMEWORK FOR STILL IMAGES

2009 ◽  
Vol 09 (04) ◽  
pp. 511-529
Author(s):  
ALEXANDER WONG
Keyword(s):  
Image Compression ◽  
Perceptual Quality ◽  
Computationally Efficient ◽  
Still Images ◽  
Image Encoding ◽  
Still Image ◽  
Block Based ◽  
Perceptual Characteristics ◽  
Image Decoding

This paper presents PECSI, a perceptually-enhanced image compression framework designed to provide high compression rates for still images while preserving visual quality. PECSI utilizes important human perceptual characteristics during image encoding stages (e.g. downsampling and quantization) and image decoding stages (e.g. upsampling and deblocking) to find a better balance between image compression and the perceptual quality of an image. The proposed framework is computationally efficient and easy to integrate into existing block-based still image compression standards. Experimental results show that the PECSI framework provides improved perceptual quality at the same compression rate as existing still image compression methods. Alternatively, the framework can be used to achieve higher compression ratios while maintaining the same level of perceptual quality.

Efficient Scalable DCT Block-Based Image Coder with Compression of Signs of DCT Coefficients

2008 ◽  
Vol 67 (5) ◽  
pp. 391-412
Author(s):  
A. V. Bazhyna ◽  
N. N. Ponomarenko ◽  
Karen O. Egiazarian ◽  
V. V. Lukin
Keyword(s):  
Image Coder ◽  
Dct Coefficients ◽  
Block Based
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