基于亚像素的低比特率彩色图像压缩

Lu Fang, Ngai-Man Cheung, O. Au, Houqiang Li, Ketan Tang
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引用次数: 0

摘要

提出了一种基于亚像素下采样和重构(SPDR)的全彩色图像低比特率压缩方案。在编码器阶段,提出了一种与解码器相关的基于子像素的多通道下采样方法,该方法比传统的基于像素的下采样方法更有效地保留了高频细节。解码器首先对低分辨率图像进行解压缩,然后综合考虑基于子像素的下采样效果和压缩退化,采用与编码器相关的基于子像素的重构方案将其上转换为原始分辨率。与现有编解码器复杂度相当的算法相比,所提出的SPDR具有完全的标准遵从性、具有竞争力的率失真性能和优越的主观质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Bit-Rate Subpixel-Based Color Image Compression
We propose a novel low bit-rate compression scheme with sub pixel-based down-sampling and reconstruction (SPDR) for full color images. In the encoder stage, a decoder-dependent multi-channel sub pixel-based down-sampling is proposed, which is more effective in retaining high frequency detail than conventional pixel-based process. The decoder first decompresses the low-resolution image and then up-converts it to the original resolution using encoder dependent sub pixel-based reconstruction scheme by jointly considering the sub pixel-based down-sampling effect and the compression degradation. Compared to existing algorithms with comparable encoder and decoder complexity, the proposed SPDR offers complete standard compliance, competitive rate-distortion performance, and superior subjective quality.
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