A Joint Salt and Pepper Noise Removal and Resolution Enhancement Algorithm in Complex Wavelet Domain
One strategy for interpolation of noisy images is to denoise the image first and then interpolate the denoised image. However, this strategy does not lead to satisfying results because denoising may smooth image details. Also other artifacts such as blurring and blocking introduced due to image denoising will be amplified in the following interpolation stage. Thus, in this paper we propose a joint salt and pepper noise removal and resolution enhancement algorithm in complex wavelet domain. In this algorithm, we use complex wavelet transform so that the wavelet subbands corresponding to the noise free high resolution image are estimated from the noisy low resolution image by multi-layer perceptrons (MLPs). Therefore the noise free high resolution image is obtained by complex wavelet reconstruction of the estimated subbands. Compared with algorithms that do denoising and interpolation in two separate stages, the proposed algorithm has better performance both subjectively and objectively and is able to maintain the image fine structures well.
salt andpeppernoise removal resolution enhancement complex wavelet transform
Shirin Salehi Homayoun MahdaNasab Hossein Pourghassem
Department of Electrical Engineering Najafabad Branch, Islamic Azad University Najafabad, Iran
国际会议
海口
英文
553-557
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）