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A New Approach for Image Enhancement using Hybrid Threshold

Author(s): Rimpy Garg1 , Prabhneet Kaur Sandhu

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 7;
Start page: 3229;
Date: 2013;
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Keywords: Visual Shrink | Sure Shrink | Bayes Shrink | Wavelet Thresholding | Peak Signal to Noise Ratio (PSNR) | Mean Square Error (MSE) | Bit Error Rate (BER)

Now a day’s, image processing is an important task in many application and area ranging from television to tomography, from photography to publishing and many more. Out of various images processing technique, denoising is an important pre-processing task before further processing of images. The process in which noise signal is separated from meaningful signal to generate a noise free image is called denoising. The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In this paper, a new model based on the hybridization of visu shrink and sure shrink for denoising of variety of noisy images in wavelet domain is presented along with the standard thresholding techniques and a comparative analysis of proposed method with Bayes thresholding techniques has been carried out very effectively on the basis of PSNR, MSE and BER. The various noises consider during experiments are additive Gaussian noise, speckle noise and salt and pepper noise.
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