Complete focal plane compression based on CMOS image sensor using predictive coding

Suying Yao , Xiao Yu , Jing Gao , Jiangtao Xu

Transactions of Tianjin University ›› 2015, Vol. 21 ›› Issue (1) : 83 -89.

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Transactions of Tianjin University ›› 2015, Vol. 21 ›› Issue (1) : 83 -89. DOI: 10.1007/s12209-015-2440-x
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Complete focal plane compression based on CMOS image sensor using predictive coding

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Abstract

In this paper, a CMOS image sensor (CIS) is proposed, which can accomplish both decorrelation and entropy coding of image compression directly on the focal plane. The design is based on predictive coding for image decorrelation. The predictions are performed in analog domain by 2×2 pixel units. Both the prediction residuals and original pixel values are quantized and encoded in parallel. Since the residuals have a peak distribution around zero, the output codewords can be replaced by the valid part of the residuals’ binary mode. The compressed bit stream is accessible directly at the output of CIS without extra disposition. Simulation results show that the proposed approach achieves a compression rate of 2.2 and PSNR of 51 on different test images.

Keywords

CMOS image sensor / focal plane compression / predictive coding / entropy coder

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Suying Yao, Xiao Yu, Jing Gao, Jiangtao Xu. Complete focal plane compression based on CMOS image sensor using predictive coding. Transactions of Tianjin University, 2015, 21(1): 83-89 DOI:10.1007/s12209-015-2440-x

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