Denoising Algorithm Using Adaptive Block Based Singular Value Decomposition Filtering
نویسنده
چکیده
Denoising or usually known as noise reduction is one of the most essential processes for digital image processing. The goal of denoising is how to remove the noise while keeping the important image features as much as possible. In this paper, a denoising algorithm using adaptive block-based singular value decomposition filtering is presented. The proposed approach, instead of applying block-based singular value decomposition (BSVD) directly to noisy images, applies BSVD filtering on the noised edge image obtained from the difference between the original noisy image and its blur image. The denoised images are obtained from the combination between noisy edge image, filtered by an adaptive BSVD filtering, and its original blur image. From the experiments, the objective measurements prove that the proposed approach compared with traditionally methods can suppress noise, preserve the significant image features as well as effectively smooth in the smooth region. Key-Words: Denoising, Noise reduction, Block based SVD Filtering
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