基于自适应量化和伪霍夫曼编码的数字像素图像传感器阵列设计

Milin Zhang, A. Bermak
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引用次数: 0

摘要

本文提出了一种结合数字像素传感器阵列的伪霍夫曼编码自适应量化算法。所提出的伪霍夫曼编码方案对量化结果进行了无损失的压缩,与不采用该编码方案的系统相比,可节省高达一半的传输比特数。仿真结果表明,自适应量化通常可以使PSNR结果提高25%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a digital pixel image sensor array with adaptive quantization and pseudo Huffman coding
In this paper, adaptive quantization algorithm with pseudo Huffman coding scheme used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed pseudo Huffman coding scheme compresses the quantization results without any loss, while saving as high as half of the bits in transmitting while comparing with the number of bits required by system without such coding scheme. Simulation results show that the adaptive quantization can usually increase the PSNR results by even higher than 25%.
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