Alphablend -一个自调整算法,用于减少JPEG压缩图像中的伪影

R. Marsh, Riddhiman Goswami
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引用次数: 1

摘要

在本文中,我们提出了一种计算效率高的算法来减少块和吉布斯振荡伪影通常存在于JPEG压缩图像中。该算法将图像的平滑版本与原始图像进行alpha混合;然而,混合是由一个限制因素来控制的,该限制因素考虑了当前的压缩量和从Prewitt滤波器的应用中得到的任何局部边缘信息。此外,混合系数(α)的实际值来自局部平均结构相似指数度量(MSSIM),该度量也通过考虑存在的压缩量的因素进行调整。我们还展示了我们的结果以及其他各种论文的结果,这些论文的作者使用了其他后压缩、过滤方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alphablend - a self-adjusting algorithm for reducing artifacts in JPEG compressed images
In this paper we present a computationally efficient algorithm for reducing the blocky and Gibbs oscillation artifacts commonly present in JPEG compressed images. The algorithm alpha-blends a smoothed version of the image with the original image; however, the blending is controlled by a limit factor that considers the amount of compression present and any local edge information derived from the application of a Prewitt filter. In addition, the actual value of the blending coefficient (α) is derived from the local Mean Structural Similarity Index Measure (MSSIM) which is also adjusted by a factor that also considers the amount of compression present. We also present our results as well as the results for a variety of other papers whose authors used other post compression, filtering methods.
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