المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 30-35
2021-06-03
Fast And Efficient Preprocessing Algorithm For Removing Highly Impulsive Noise In Digital Images
Authors : Boucif Beddad . Kaddour Hachemi . Jack-gerard Postaire .
Abstract
This work proposes a new approach to enhance corrupted images. Digital images suffer from different type of degradations. However, the main objective is to remove low and high impulsive noise density using a new developed median filter. The employed filter performs spatial information processing to determine which pixels in the image have been affected by impulsive noise. Thereafter, replace those pixels by the median value of the proposed 2-D areas that have the low variance value. The proposed algorithm has been optimized and implemented on a float-point TMS320C6713 Digital Signal Processor of Texas Instruments. A display module (LCD screen) is also used and connected to the DSP kit to display the output enhanced image. Performance of the proposed algorithm is compared with others nonlinear filters. The improved median filter is successfully tested with multiple grayscale images and gives better Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE) results..
Keywords
Code Composer Studio, Impulsive Noise, Median Filter,Spatial Information, TMS320C6713 DSK, VM3224K2 Daughter Kit
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