In the field of digital image processing,denoising is one of the basic problems.The challenges faced in image denoising are detecting impulse noise and designing a suitable filter.In this paper,we propose a methodolog...In the field of digital image processing,denoising is one of the basic problems.The challenges faced in image denoising are detecting impulse noise and designing a suitable filter.In this paper,we propose a methodology to remove the random impulse noise on the color image using a novel switching median filter.By using this novel technique,the occurrence of color artifacts has been avoided after noise removal which depends on auto-tuning threshold detection and a vector-type median filter noise remover.In the proposed technique,the random valued impulse noises with uniform distribution have been dealt with switching median filter.L_(2)Norm is employed to calculate the distribution distance rather than L1 Norm which is used to identify the optimal threshold value for auto-tuning filter.The switching auto-tuning detector automatically tunes the noisy pixels based on distance information of pixels distribution.The Normalized Mean Square Error(NMSE)is found to decrease for L_(2)Norm when compared with L1 Norm.The Peak Signal to Noise Ratio(PSNR)value and True Positive Rate(TPR)value improved with L_(2)Norm signifying effective noise removal.The efficiency of the present method is verified by conducting experiments on digital images.展开更多
文摘In the field of digital image processing,denoising is one of the basic problems.The challenges faced in image denoising are detecting impulse noise and designing a suitable filter.In this paper,we propose a methodology to remove the random impulse noise on the color image using a novel switching median filter.By using this novel technique,the occurrence of color artifacts has been avoided after noise removal which depends on auto-tuning threshold detection and a vector-type median filter noise remover.In the proposed technique,the random valued impulse noises with uniform distribution have been dealt with switching median filter.L_(2)Norm is employed to calculate the distribution distance rather than L1 Norm which is used to identify the optimal threshold value for auto-tuning filter.The switching auto-tuning detector automatically tunes the noisy pixels based on distance information of pixels distribution.The Normalized Mean Square Error(NMSE)is found to decrease for L_(2)Norm when compared with L1 Norm.The Peak Signal to Noise Ratio(PSNR)value and True Positive Rate(TPR)value improved with L_(2)Norm signifying effective noise removal.The efficiency of the present method is verified by conducting experiments on digital images.
