Computational Efficient Method for Denoising of Salt and Pepper Noise for Image Enhancement
Neetesh Raghuwanshi1, Bharti Chourasia2

1Neetesh Raghuwanshi*, PhD Scholar, EC Department, RKDF IST, SRK University Bhopal, India.
2Dr Bharti Chourasia Associate EC Department, RKDF IST, SRK University Bhopal, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 538-553 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7294038620/2020©BEIESP | DOI: 10.35940/ijrte.F7294.038620

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Abstract: Digital Image processing is basically a computer-algorithm which is used to enhance the quality of image to understand the feature of image and exact the meaningful features information from image. Image processing has wider range of algorithms to be applied to the input image and can escape the difficulty as the signal distortion and add noise in input image at the time of processing of images. Noises affect the image visualization and degraded the image quality, sometimes chaotic variation in value of pixel intensity, lighting effect or because of poor contrast, image can’t be used directly because many time interest feature information not received as output that’s one reason image processing is significant for removal of noise from images, so noise removal is becomes trending field in image processing. Median filter method is one of most popular method to eradicate the effect of noise from image and it enhances the image quality to take meaningful feature easily from image. In this paper removing of noise using median filter to enhance the image quality is discussed, also the importance and applications of enhancement technique are covered. Parameter PSNR and MSE is also used to analysis the image quality along with the visualization of image. Simulation results show that Median filter gives good outcome for salt & pepper noise as compare to other filtering method. MATLAB software is used as simulation tool. Keywords : Salt & pepper, Median filter, PSNR, MSE, denoising
Keywords: Digital Receiver, Multirate Filter, Frequency Characteristics, VLSI Cost Function, FPGA.
Scope of the Article: Computational Economics, Digital Photogrammetric.