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Novel Wavelet Coder for Color Image Compression

机译:用于彩色图像压缩的新型小波编码器

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摘要

A new still image compression algorithm based on the multi-threshold wavelet coding (MTWC) technique is proposed in this work. It is an embedded wavelet coder in the sense that its compression ratio can be controlled depending on the bandwidth requirement of image transmission. At low bite rates, MTWC can avoid the blocking artifact from JPEG to result in a better reconstructed image quality. An subband decision scheme is developed based on the rate-distortion theory to enhance the image fidelity. Moreover, a new quantization sequence order is introduced based on our analysis of error energy reduction in significant and refinement maps. Experimental results are given to demonstrate the superior performance of the proposed new algorithm in its high reconstructed quality for color and gray level image compression and low computational complexity. Generally speaking, it gives a better rate-distortion tradeoff and performs faster than most existing state-of-the-art wavelet coders.
机译:在这项工作中提出了一种基于多阈值小波编码(MTWC)技术的新静止图像压缩算法。这是一种嵌入式小波编码器,即可以根据图像传输的带宽要求来控制其压缩比。在低咬合速率下,MTWC可以避免从JPEG阻塞伪影,以导致更好的重建图像质量。基于速率失真理论开发了子带决策方案,以增强图像保真度。此外,基于我们对显着和细化图中的误差能量降低的分析来引入新的量化序列顺序。给出了实验结果,以证明所提出的新算法在其高重建质量中的卓越性能,用于颜色和灰度图像压缩和低计算复杂性。一般而言,它给出了更好的速率 - 失真折衷,并且比大多数现有的最先进的小波编码器更快地执行。

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