Denoising Process Based on Arbitrarily Shaped Windows

International Journal of Image Processing

Reza Adhami¹  Huda Al-Ghaib¹ 

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关键词: Region Merging;    Wavelet Transform;    Image Denoising;    Noise Estimation;    Wavelet Shrinkage Process.;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

Many factors, such as moving objects, introduce noise in digital images. The presence of noise affects image quality. The image denoising process works on reconstructing a noiseless image and improving its quality. When an image has an additive white Gaussian noise (AWGN) then denoising becomes a challenging process. In our research, we present an improved algorithm for image denoising in the wavelet domain. Homogenous regions for an input image are estimated using a region merging algorithm. The local variance and wavelet shrinkage algorithm are applied to denoise each image patch. Experimental results based on peak signal to noise ratio (PSNR) measurements showed that our algorithm provided better results compared with a denoising algorithm based on a minimum mean square error (MMSE) estimator.

【 授权许可】

Unknown