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Title: Design of an efficient space transform domain based denoising technique for grey scale images
Researcher: Goyal, Bhawna
Guide(s): Agrawal, Sunil and Sohi, B.S.
Keywords: Engineering and Technology,Engineering,Engineering Electrical and Electronic
Gaussian Noise
Image Denoising
Image Transforms
Spatial Domain
University: Panjab University
Completed Date: 2018
Abstract: In the present work, our primary objective is to design effective denoising algorithms in the space-transform domain to substantiate the need for consistency in denoising performance over wide range of noise levels with removal of residual noise. For this, we propose to develop image denoising algorithm based on bit plane slicing and bitonic filtering. The fundamental conjecture of segregation of noise in eight bit-planes and adaptive filtering is able to depict consistent performance at varying noise levels. Further we have optimized the performance of the proposed algorithm in order to demonstrate increased PSNR values with lower level of complexity. A novel method for estimation and removal of residual noise has also been proposed for optimum feature recovery. With the help of these hybrid domain methods we are able to depict consistency in denoising performance, preserve fine feature details and remove residual noise. With comparative analysis, it has been established that proposed denoising methods surpass the performance of recent state-of-the-art denoising methods in terms of qualitative and quantitative evaluation both over wide range of noise levels.
Pagination: xiv,168p.
Appears in Departments:University Institute of Engineering and Technology

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02_certificate.pdf584.67 kBAdobe PDFView/Open
03_acknowledgement.pdf696.24 kBAdobe PDFView/Open
04_abstract.pdf184.55 kBAdobe PDFView/Open
05_contents.pdf213.73 kBAdobe PDFView/Open
06_list_of_figures.pdf306.93 kBAdobe PDFView/Open
07_list_of_tables.pdf182.74 kBAdobe PDFView/Open
08_abbreviations.pdf185.36 kBAdobe PDFView/Open
09_list_of_publications.pdf187.68 kBAdobe PDFView/Open
10_chapter 1.pdf1.16 MBAdobe PDFView/Open
11_chapter 2.pdf1.79 MBAdobe PDFView/Open
12_chapter 3.pdf1.07 MBAdobe PDFView/Open
13_chapter 4.pdf2.94 MBAdobe PDFView/Open
14_chapter 5.pdf4.25 MBAdobe PDFView/Open
15_chapter 6.pdf2.17 MBAdobe PDFView/Open
16_chapter 7.pdf496.92 kBAdobe PDFView/Open

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