International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Deblurring using Reverse Filtering Techniques: An Experimental Analysis

Author(s) Dr. Usha Rani
Country India
Abstract Images are an integral part of life. Blurring an image is a process that makes the image less sharp and distorts the detail of an image. The images got blurred due to atmospheric noise, improper camera setting, and relative motion between the camera and the scene. Deblurring is the process of recovering the sharp image from the blurred image. The types of blurs include Average blur, Motion blur, Defocus blur, Gaussian blur, etc. Mainly deblurring techniques are categorised into blind image deconvolution and nonblind image deconvolution. There exist many deblurring techniques in the literature. Deblurring using reverse filtering is to suppress the effect of the filter using the filter itself as many times as needed but without knowing its internal structure. The filter is regarded as a black box. This paper presents the experimental analysis of existing reverse filtering techniques such as zero order reverse filtering (T-method), Rendition method (R-method), P-method, and TDA (Total Derivative Approximation). The methods considered in the paper are spatial domain methods.
Keywords Reverse filtering, deblurring, defiltering
Field Computer Applications
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-29
Cite This Deblurring using Reverse Filtering Techniques: An Experimental Analysis - Dr. Usha Rani - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.14345
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.14345
Short DOI https://doi.org/gtktb4
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E-ISSN 2582-2160
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