A spectral algorithm for removing salt and pepper from images

Olivier Rioul
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引用次数: 15

Abstract

This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as "errors". The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.
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从图像中去除盐和胡椒的光谱算法
本文提出了一种简便的图像脉冲噪声消除方法。本文采用的方法是基于纠错(BCH)码理论。冲动被认为是“错误”。该过程分为两步:首先,在图像中找到错误位置;然后,纠正错误值。在图像的线条上进行第一次传递,然后在列上执行第二次传递。接下来,重复同样的过程。在大多数情况下,经过几次迭代后,脉冲噪声被完全去除。
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