An Efficient Approach of Segmentation and Blind Deconvolution in Image Restoration
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract :This paper introduces the concept of Blind Deconvolution for restoration of a digital image and small segments of a single image that has been degraded due to some noise. Concept of Image Restoration isused in various areas like in Robotics to take decision, Biomedical research for analysis of tissues, cells and cellular constituents etc. Segmentation is used to divide an image into multiple meaningful regions. Concept of segmentation is helpful for restoration of only selected portion of the image hence reduces the complexity of the system by focusing only on those parts of the image that need to be restored. There exist so many techniques for the restoration of a degraded image like Wiener filter, Regularized filter, Lucy Richardson algorithm etc. All these techniques use prior knowledge of blur kernel for restoration process. In Blind Deconvolution technique Blur kernel initially remains unknown. This paper uses Gaussian low pass filter to convolve an image. Gaussian low pass filter minimize the problem of ringing effect. Ringing effect occurs in image when transition between one point to another is not clearly defined. After removing these ringing effects from the restored image, resultant image will be clear in visibility. The aim of this paper is to provide better algorithm that can be helpful in removing unwanted features from the image and the quality of the image can be measured in terms ofPSNR(Peak Signal-to-Noise Ratio) and MSE(Mean Square error). Proposed Technique also works well with Motion Blur
Authors and Affiliations
Sindhu Jain , Mr. Sudhir Goswami
Keywords
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