Work place: DAVIET, Jalandhar, INDIA
Research Interests: Image Processing, Image Manipulation, Image Compression, Computer Architecture and Organization, Computational Science and Engineering
Bindu Bansal received B.Tech. Degree in Computer Science and Engineering from Punjab Technical University, Jalandhar in 2005 and completed her M.Tech. Degree in Computer Science and Engineering from Punjab Technical University, Jalandhar in 2012. She has 8 years of teaching experience and 3 years of administration experience. She is also a life-member of ISTE. She is pursuing Ph.D. from IKG-PTU Jalandhar in the area of Image / Video Processing. She guided various graduate/post graduate projects. She has interest in the databases, image processing.
DOI: https://doi.org/10.5815/ijigsp.2017.11.07, Pub. Date: 8 Nov. 2017
Haze and fog lead to image degradation by various degradation processes like image contrast, image blurring and pixel distortion. It has effected the efficiency of computer and machine vision algorithms. A number of single image and multiple image restoration based image defogging algorithms have aimed to solve the problem in an efficient and fast manner. The objective of the paper is to summarize present state of the art image defogging algorithms. Firstly, an image classification algorithm has been presented and then we summarized present state of the art image restoration based image defogging algorithms. Finally, we summarized image quality assessment methods followed by their comparisons of various image defogging algorithms. Problems of image dehazing and future scope have been discussed thereafter.[...] Read more.
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