Search or add a thesis

Advanced Search (Beta)
Home > Developing Genetic Programming Based Image Denoising Systems

Developing Genetic Programming Based Image Denoising Systems

Thesis Info

Access Option

External Link

Author

Javed, Syed Gibran

Program

PhD

Institute

Pakistan Institute of Engineering and Applied Sciences

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/9580/1/PhDThesis_Gibran_10-05-2017_%20SIGNED.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727730922

Similar


During acquisition or transmission, the visual quality of digital images is deteriorated due to the occurrence of impulse and speckle noises. These noises adversely effect various applications in image processing, pattern recognition, computer vision and medical imaging. Due to emerging imaging applications, recent trend is to develop application specific denoising systems. In this thesis, genetic programming (GP) based various denoising systems are developed for impulse and speckle noises. The proposed GP based evolutionary systems have effectively developed the domain specific denoising models that select the optimal informative features from the corrupted images. In the first phase of research, the genetic programming based mixed impulse denoising (GP-MID) system is developed to improve the visual quality of corrupted digital images. In this system, GP has optimally/near-optimally selects suitable statistical features to remove noise. In the second phase, the genetic programming based multi-type impulse denoising (GP-MuID) system is developed for corrupted digital images. This system has successfully removed salt & pepper, uniform impulse, mixed impulse and impulse burst noises, simultaneously. In the third phase, an advanced version of multi-gene genetic programming (MGGP) based biomedical image denoising (MGGP-BmID) system is developed to improve the visual quality of biomedical images. In the last phase, the multi-gene genetic programming based ultrasound image denoising (MGGP-UsID) system is developed to denoise speckle from ultrasound images. The improved performance of the GP based systems is obtained for diverse types of natural and biomedical images. The comparative analysis with existing approaches highlights the effectiveness of the proposed GP based evolutionary denoising systems. The improved denoising performance is achieved by the proposed GP based systems. It is because, during evolutionary learning process, the useful statistical features and primitive functions from a wider solution space are optimally/near-optimally combined to develop GP based intelligent noise detectors and estimators for image denoising problems.
Loading...

Similar Thesis

Showing 1 to 20 of 100 entries
TitleAuthorSupervisorDegreeInstitute
PhD
Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
PhD
National University of Computer and Emerging Sciences, Islamabad, Pakistan
MS
International Islamic University, Islamabad, Pakistan
Allama Iqbal Open University, Islamabad, Pakistan
PhD
Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
MS
International Islamic University, Islamabad, Pakistan
PhD
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Swabi, Pakistan
PhD
National University of Computer and Emerging Sciences, Islamabad, Pakistan
University of Engineering and Technology, Lahore, Pakistan
University of Engineering and Technology, Lahore, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
Mehran University of Engineering and Technology, Jamshoro, Pakistan
BS
International Islamic University, Islamabad, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
BS
COMSATS University Islamabad, Islamabad, Pakistan
RCS
COMSATS University Islamabad, Islamabad, Pakistan
BCS
International Islamic University, Islamabad, Pakistan
MSc
Quaid-i-Azam University, Islamabad, Pakistan
TitleAuthorSupervisorDegreeInstitute
Showing 1 to 20 of 100 entries

Similar News

Loading...

Similar Articles

Loading...

Similar Article Headings

Loading...