Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 5 , 2022
Blur video restoration using Blind Deconvolution Method

Author : Sangareddy B K 1 Manasa T K 2

Date of Publication :15th May 2019

Abstract: Instability in the atmosphere and incompatibility camera settings leads to blurring of video. Closed circuit television [CCTV] is most commonly used for security purpose in homes, banks, hospitals, business, criminal investigation and colleges. Usually these cameras have resolution of 704x480 and 720x480. Even IR cameras are playing important role in industries these days. The IR cameras usually have a low resolution mostly 160x120 and 320x240 for technical reasons. In this case Image Processing is one of the boons for business, engineers, forensics and medical field to extract the required values from the image data. This paper introduces an effective method to deblur low resolution images. Blind Deconvolution method is applied to low resolution images. Then, restored gray images are converted into RGB images and write each RGB frame into the videoobject to make a video. The experimental results depict a high resolution video which is the sharpen form of low resolution video.

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