Title :
SSPQ - spatial domain perceptual image codec based on subsampling and perceptual quantization
Author :
Wang, Zhen ; Simon, Stefan ; Klaiber, M. ; Ahmed, Shehab ; Richter, Thomas
Author_Institution :
Dept. of Parallel Syst., Univ. of Stuttgart, Stuttgart, Germany
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
A spatial domain perceptual image codec based on subsampling and perceptual quantization (SSPQ) guided by the just-noticeable distortion (JND) profile is proposed. SSPQ integrates perceptual image coding and progressive transmission in one framework. The input image is first subsampled by a factor of two in both dimensions and the subsampled image is compressed without loss. The subsampled image provides a basis for both predicting the input pixels by interpolation and estimating the JND values for each pixel. Residual quantization thresholds are set to the estimated JND values for a perceptually tuned compression. Quantized residuals are progressively encoded by a context-based Golomb coder with run-length coding capacity. Experimental results show over 50% improvement in compression performance on average for the proposed SSPQ codec compared to the lossless JPEG-LS.
Keywords :
codecs; data compression; image coding; quantisation (signal); JND profile; JND values; SSPQ codec; compression performance; context-based Golomb coder; integrates perceptual image coding; just-noticeable distortion; perceptual quantization; perceptually tuned compression; progressive transmission; quantized residuals; residual quantization thresholds; run-length coding capacity; spatial domain perceptual image codec; subsampling quantization; Codecs; Compression algorithms; Decoding; Encoding; Estimation; Image coding; Quantization; JPEG-LS; Perceptual coding; just-noticeable distortion; perceptual quantization;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467046
