DocumentCode :
1976802
Title :
All-zero block detection algorithm based on quantitative parameters
Author :
Song, Guoji ; Jiang, Xuedong
Author_Institution :
Center for Comput. Inf., Hebei Normal Univ. for Nat., Chengde, China
Volume :
2
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
296
Lastpage :
299
Abstract :
Article using a combination of mathematical and statistical methods to establish the predictive coding model of all-zero block threshold under different cost function with different quantization parameter. Use this threshold model presented an all-zero block detection algorithm based on quantization parameters. Experiments show that the cost function using the established model of all-zero block threshold for early termination, and compare with Yang´s algorithm when the quantification parameter is low, the estimated performance has drops slightly but PSNR has the average of 0.05db enhancement, when the quantification parameter is high, enhances 10%-18% during the estimated performance, PSNR also enhances approximately 0.06db.
Keywords :
block codes; mathematical analysis; prediction theory; statistical analysis; PSNR; Yang algorithm; all-zero block detection algorithm; all-zero block threshold; cost function; mathematical method; noise figure 0.05 dB; predictive coding model; quantitative parameter; statistical method; threshold model; Cost function; Encoding; Mathematical model; PSNR; Quantization; Rate-distortion; Vectors; all-zero block; detection; predictive coding; quantification parameter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
Type :
conf
DOI :
10.1109/ICSSEM.2012.6340868
Filename :
6340868
Link To Document :
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