DocumentCode :
318168
Title :
Locally adaptive perceptual quantization without side information for compression of visual data
Author :
Höntsch, Ingo ; Karam, Lina J.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
2
fYear :
1997
fDate :
3-8 Nov 1997
Firstpage :
1042
Abstract :
This paper presents a locally adaptive perceptual quantization scheme for visual data compression. The strategy is to exploit human visual masking properties by deriving masking thresholds in a locally adaptive fashion based on a sub-band decomposition. The derived masking thresholds are used in controlling the quantization stage by adapting the quantizer reconstruction levels to the local amount of masking present at the level of each sub-band transform coefficient. Compared to the existing non-locally-adaptive perceptual quantization methods, the new locally adaptive algorithm exhibit superior performance and does not require additional side information. This is accomplished by estimating the amount of available masking from the already quantized data and linear prediction of the coefficient under consideration. By virtue of the local adaptation, the proposed quantization scheme is able to remove a large amount of perceptually redundant information. Since the algorithm does not require additional side information, it yields a low entropy representation of the image and is well suited for perceptually-lossless image compression
Keywords :
adaptive signal processing; data compression; entropy; image coding; image reconstruction; image representation; linear predictive coding; quantisation (signal); transform coding; visual perception; coefficient; human visual masking properties; linear prediction; locally adaptive algorithm; locally adaptive perceptual quantization; low entropy image representation; masking thresholds; perceptually-lossless image compression; quantization stage control; quantized data; quantizer reconstruction levels; sub-band decomposition; sub-band transform coefficient; visual data compression; Bit rate; Data compression; Distortion measurement; Humans; Image coding; Image reconstruction; Masking threshold; Quantization; Redundancy; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1997. GLOBECOM '97., IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-4198-8
Type :
conf
DOI :
10.1109/GLOCOM.1997.638486
Filename :
638486
Link To Document :
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