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Fast Edge-Preserved Postprocessing for Compressed Images

机译:压缩图像的快速边缘保留后处理

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摘要

Images are often coded using block-based discrete cosine transform (DCT), where blocking and ringing artifacts are the most common visual distortion. In this letter, a fast algorithm is proposed to alleviate the said artifacts in the DCT domain. The new concept is to decompose a row or column image vector to a gradually changed signal and a fast variational signal, which correspond to low-frequency (LF) and high-frequency (HF) DCT subbands, respectively. Blocking artifacts between adjacent LF blocks are suppressed by smoothing LF components and discarding invalid HF ones, and ringing artifacts inside HF vectors are reduced by a simplified bilateral filter. With such a process, edges are preserved while blockiness and ringing are alleviated. Analytic and experimental results confirm the robustness and computational efficiency of the proposed method.
机译:图像通常使用基于块的离散余弦变换(DCT)进行编码,其中,阻塞和振铃伪像是最常见的视觉失真。在这封信中,提出了一种快速算法来减轻DCT域中的上述伪像。新概念是将行或列图像矢量分解为逐渐变化的信号和快速变化的信号,分别对应于低频(LF)和高频(HF)DCT子带。通过平滑LF分量并丢弃无效的HF分量,可以抑制相邻LF块之间的阻塞伪影,并通过简化的双边滤波器减少HF向量内部的振铃伪影。通过这样的处理,边缘得以保留,同时减轻了阻塞和振铃。解析和实验结果证实了该方法的鲁棒性和计算效率。

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