2009 2nd International Congress on Image and Signal Processing 2009
DOI: 10.1109/cisp.2009.5300823
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An Improved Decoding Algorithm for Distributed Video Coding

Abstract: An improved decoding algorithm based on joint bitplane decoding for distributed video coding is proposed. The new algorithm uses the decoded bitplane results of quantization coefficients as prior knowledge, and decodes the other bit-planes to avoid correlation weakening between sources when decoding bit-planes independently. It makes full use of correlation between Wyner-Ziv frames and key frames; therefore the rate-distortion performance of distributed video coding can be enhanced without increasing decoding … Show more

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Cited by 4 publications
(15 citation statements)
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“…Each point in the residual frame belongs to one confidence area. Simultaneously, with the estimated residual frame R, we can obtain the CNM parameterα , which will be sent along with the SI to the LDPCA decoder to calculate the LLR values for all bits in every bitplane with the methods in [10]. Then, according to the corresponding points in R of the pixels in SI belonging to different confidence areas, the LLR values will be revised with our proposed scheme.…”
Section: The Improved Architecture Of Dvcmentioning
confidence: 98%
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“…Each point in the residual frame belongs to one confidence area. Simultaneously, with the estimated residual frame R, we can obtain the CNM parameterα , which will be sent along with the SI to the LDPCA decoder to calculate the LLR values for all bits in every bitplane with the methods in [10]. Then, according to the corresponding points in R of the pixels in SI belonging to different confidence areas, the LLR values will be revised with our proposed scheme.…”
Section: The Improved Architecture Of Dvcmentioning
confidence: 98%
“…In this section, we will describe in detail the specific realization steps of our improved decoding scheme based on that in [10]. Compared with the decoding scheme in [10], we propose to utilize the video inherent character to divide the points in the residual frame R into different confidence areas.…”
Section: The Improved Decoding Schemementioning
confidence: 99%
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