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Deconvolution technique is used and is performed in the frequency domain.The main defects that degrade an image are restored here.4.
Successful scientific applications of digital image processing require an intensive interdisciplinary cooperation between the application research area and basic research in image processing itself.
We assure that the journal will provide a distinct knowledge on the research on Image Processing and its applications.
In comparison to image enhancement which is subjective, image restoration is completely objective which makes the sense that restoration techniques are based on probabilistic or mathematical models of image degradation. The image information lost during blurring is restored through a reversal process.
Image restoration removes any form of a blur, noise from images to produce a clean and original image. This process is different from the image enhancement method.
It starts with the capturing of an image by the sensor (such as a monochrome or color TV camera) and digitized.
In case, the output of the camera or sensor is not in digital form then an analog-to-digital converter (ADC) digitizes it.
Compression: Compression involves the techniques that are used for reducing storage necessary to save an image or bandwidth to transmit it.
If we talk about its internet usage, it is mostly used to compress data.
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