Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 203-206.

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Application of Improved Interpolation IELAD Algorithm in Image Denoising

FAN Sheng-juan,ZHANG You-hui,WANG Zhi-wei,DONG Rui and CAO Meng   

  • Online:2018-11-14 Published:2018-11-14

Abstract: An ideal image denoising algorithm should preserve details of image while removing the image noises.This article drew on the Edge-based Line Average algorithm (ELA) thinking which is used to venue interpolate in video signal processing and put forward an Improved Edge-based Line Average Denoising algorithm (IELAD) which is used to remove salt-and-pepper noises.In this algorithm,an extended 5+5order vertical-window is added based on the 5+5order horizontal-window.We saw the noise pixels as the interpolating pixels.Then according to the edge direction of the noise,the right window and direction were choosed adaptively for filtering.Experiments show that this method makes full use of the edge-preserving property of ELA window and can effectively remove the salt-and-pepper noises.This algorithm can maintain the edge details of the image and reduce image blur.

Key words: Improved edge-based line average denoising(IELAD) window,Edge-preserving,Salt-and-pepper noise,Videosignal,Edge-based line average(ELA) interpolation

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