图像和音频恢复及其评价研究进展

Omar Mohammed, B. Mahmood
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引用次数: 0

摘要

图像恢复是将降级后的图像恢复到原始图像的过程。图像可能受到各种类型的噪声的影响,例如高斯噪声、脉冲噪声,以及在图像记录期间发生的模糊(如运动模糊、失焦模糊等)的影响。图像恢复技术用于扭转噪声和模糊的影响。失真图像的恢复可以使用一些关于噪声和模糊性质的信息,或者不需要任何关于图像退化过程的知识。研究人员在这方面提出了许多算法;本文将讨论不同的噪声退化模型和恢复方法,并对该领域的一些研究进行综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advance in Image and Audio Restoration and their Assessments: A Review
Image restoration is the process of restoring the original image from a degraded one. Images can be affected by various types of noise, such as Gaussian noise, impulse noise, and affected by blurring, which is happened during image recordings like motion blur, Out-of-Focus Blur, and others. Image restoration techniques are used to reverse the effect of noise and blurring. Restoration of distorted images can be done using some information about noise and the blurring nature or without any knowledge about the image degradation process. Researchers have proposed many algorithms in this regard; in this paper, different noise and degradation models and restoration methods will be discussed and review some researches in this field.
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