Comparison Of Performance In Image Restoration By Time And Frequency Domain Techniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Image Processing is a practice of signal processing aimed at which the input is an image, for instance a photograph or video frame. Also the output of image processing might be either an image or some set of characteristics or restrictions related to the image. An image is defined as an array or a matrix, square pixel decided in rows and columns. Greatest image-processing methods involve giving the image as a twodimensional 2-D signal and applying normal signal processing methods to it. Image processing characteristically refers to digital image processing. The arena of digital image processing mentions to processing digital images by incomes of a digital computer. It comprises many methods they are Image division, Image credit, Image Differencing and Transforming, Digital Compositing, Color Corrections and Image Restoration, etc. In this thesis, a comparison of performance of image restoration is presented to see the behavior of different filters along with diverse coding scheme. Image de-noising is the considered as part of thethesis. In de-blurring, sightless de-convolution is examined. Out of the numerous classes of sightless deconvolution methods, Non parametric approaches based on Image restraints are studied at better depth. A newprocedure based on the wavelet method is developed. The algorithm brands use of spatial domain restraints of non-negativity and provision.
Authors and Affiliations
Abha Agrawa , Pawan Kumar Mishra
Keywords
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