图像恢复下的图像处理综述

J. Narmadha, S. Ranjithapriya, Tamil. Kannaambaal
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引用次数: 3

摘要

本文介绍了一种基于场景图像上漆和纹理合成的方法,对数字化图像进行推理和操作处理,以提高其质量效果。图像处理是一种用于去除物体、隐藏错误和重建多个背景作品的技术。在绘画中存在一些不同的图像应用,其范围从移除特定场景中存在的物体到修复损坏的绘画或照片。绘画中的摄影允许逆转各种退化,也用于从照片中添加或删除一些元素。纹理合成能够利用内容结构从一个小的数字样本图像在算法上构建一个大的数字图像。纹理合成的应用程序可以给出与周围区域相对应的样本颜色值,并开发几个纹理以及它们的采样结果,以填充洞。本文部署了几个尚未解决的探索,并传达了其挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on image processing under image restoration
The survey paper tells a scenario based on image inpainting and texture synthesis method used for the reasoning and manipulation processing of a digitized image, so to improve its quality effect. Image Processing is a technique which is used for the removal of an object, concealment of errors and reconstruction of several background works. There exist some various applications of image inpainting which ranges from removing of an object existing in a particular scene to the retouching of the painting or photographs that is damaged. The photography inpainting allows reversing various deteriorations and is also used for adding or removing some elements from the photograph. Texture Synthesis enables to build algorithmically a large digital image from a small digital sample image by making using of the content structure. Applications of texture synthesis enable to give sample color values corresponding to the surrounding areas and develop several textures along with their sampling result in order to fill the hole. This paper deploys several explorations that are not addressed and also its challenges are conveyed.
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