Abstract
When the image is captured from the source using some scanner or the camera, it can have number of deficiencies because of the camera, environment or lack of expertise problems. These problems results distorted capturing of images. But to perform any image processing operation, it is required to resolve these impurities over the image. In this paper, the importance of image restoration is defined against various problems of images. The paper has discussed some of effective image reconstruction methodologies.
Highlights
To perform any image processing operation, it is required to resolve these impurities over the image
Image Processing comes under signal processing for getting the input image such as some photograph or the video frame
There are number of evolving image processing techniques that accept the images in the form of two dimensional signals and apply different signal processing operation on it
Summary
Image Processing comes under signal processing for getting the input image such as some photograph or the video frame. Author has considered visibility parameters and frequency driven parameters for the comparison applied on different blocks on images Based on this block level analysis effective formation of result image is done. Author defined the random space analysis approach for reconstruction of image and to improve the quality of image under different parameters. Author defined the decomposition process applied on object model to provide the quality analysis and to form a new image out of the valid image specification. WenzhongShi[10] defined the DWT effective approach for generating a new image by performing feature level analysis on it This image formation is based on the statistical features so that new image blocks will be obtained. The mathematical computation method was applied to retain the visual quality and to improve the performance of image rectification
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