A new switching-based median filtering scheme and algorithm for removal of high-density salt and pepper noise in images

Authors:
V. Jayaraj;D. Ebenezer
Affiliations:
Digital Signal Processing Laboratory, Sri Krishna College of Engineering and Technology, Coimbatore, Anna University Coimbatore, Tamilnadu, India;Digital Signal Processing Laboratory, Sri Krishna College of Engineering and Technology, Coimbatore, Anna University Coimbatore, Tamilnadu, India
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2010

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Abstract

A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and pepper noise is proposed. An algorithm based on the scheme is developed. The new scheme introduces the concept of substitution of noisy pixels by linear prediction prior to estimation. A novel simplified linear predictor is developed for this purpose. The objective of the scheme and algorithm is the removal of high-density salt and pepper noise in images. The new algorithm shows significantly better image quality with good PSNR, reduced MSE, good edge preservation, and reduced streaking. The good performance is achieved with reduced computational complexity. A comparison of the performance is made with several existing algorithms in terms of visual and quantitative results. The performance of the proposed scheme and algorithm is demonstrated.