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JPEG-Based Image Coding Algorithm at Low Bit Rates with Down-Sampling and Interpolation

机译:基于JPEG的低比特率下采样和内插图像编码算法

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摘要

The JPEG standard is the most commonly employed lossy compression method for still continuous-tone images due to its high effectiveness and low computational complexity. However, the visually disturbing blocking artifacts generates when image is compressed at low bit rates. JPEG-based image coding algorithm has shown that employing down-sampling to a low resolution before JPEG and subsequently interpolating the decompressed image to the original resolution can improve the overall PSNR performance. In this paper, the all phase discrete cosine transform (APDCT) filter which can be used as antialiasing low-pass filter is designed. And two interpolation methods, cubic interpolation and APDCT interpolation are proposed for further performance improvement. The experimental results presented clearly exhibit an improvement over existing approaches in terms of PSNR and visual quality while keeping low computational complexity.
机译:JPEG标准是静止连续色调图像的最常用的有损压缩方法,因为它具有很高的效率和较低的计算复杂度。然而,当以低比特率压缩图像时,会产生视觉上令人不安的阻塞伪像。基于JPEG的图像编码算法表明,在JPEG之前采用下采样至低分辨率,然后将解压缩后的图像插值至原始分辨率可以改善总体PSNR性能。本文设计了可以用作抗混叠低通滤波器的全相位离散余弦变换(APDCT)滤波器。提出了三次插值和APDCT插值两种插值方法,以进一步提高性能。呈现的实验结果清楚地显示出在保持低计算复杂度的同时,在PSNR和视觉质量方面比现有方法有所改进。

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