Noise Removal in Image Processing using Median, Adaptive Median and Proposed Median Filter and Respective Image Quality Comparison

نویسندگان

  • Monika Kohli
  • Harmeet Kaur
چکیده

Abstract: In this paper, image-denoising proposed median filter is implemented for denoising of corrupted image and edge preservation. This method enhances the Peak Signal to Noise Ratio(PSNR) and perceives the original features of the images. This filter is compared with median and Adaptive median filter. The paper is organized as follows. Section II presents the introduction to image processing. Different sources and types of noise are discussed in section III. Section IV encompasses the comparative study of median, adaptive median and proposed median filter. The algorithm of proposed median filter is devised in Section V and results are shown in Section VI. Section VII describes conclusion.

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تاریخ انتشار 2015