期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：5
页码：75
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In every image processing algorithm quality of image plays a very vital role because the output of thealgorithm depends on the quality of input image. Hence, several techniques are used for image qualityenhancement and image restoration. Some of them are common techniques applied to all the imageswithout having prior knowledge of noise and are called image enhancement algorithms. Some of the imageprocessing algorithms use the prior knowledge of the type of noise present in the image and are referred toas image restoration techniques. Image restoration techniques are also referred to as image de-noisingtechniques. In such cases, identified inverse degradation functions are used to restore images. In thissurvey, we review several impulse noise removal techniques reported in the literature and identify efficientimplementations. We analyse and compare the performance of different reported impulse noise reductiontechniques with Restored Mean Absolute Error (RMAE) under different noise conditions. Also, we identifythe most efficient impulse noise removing filters. Marking the maximum and minimum performance offilters helps in designing and comparing the new filters which give better results than the existing filters.
