Dissertation/Thesis Abstract

Image enhancement using a joint algorithm of white balancing and contrast enhancement
by Avuthu, Lakshmidhar Reddy, M.S., California State University, Long Beach, 2016, 42; 10111199
Abstract (Summary)

Developments in digital image processing have resulted in revolutionary applications in fields like medicine, military, security, biometrics, robotics, satellite image processing, digital image compression, digital image enhancement, digital video processing, etc. Image enhancement is a fundamental operation in image processing, creating an image, that is perceived by human visual system (HVS) in a pleasant way. The current project presents an image enhancement method, integrating the contrast enhancement and white balancing to form a unified algorithm. An optimized image enhancement algorithm has been derived, which yields good theoretical results based on two important histogram transform properties, namely contrast gain and non linearity. Experimental results show that proposed method achieves good performance and low complexity over traditional methods, and that it is successful in achieving better efficiency in terms of tone correction as well as white balancing.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Ary, James, Tran, Boi
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/05M(E), Masters Abstracts International
Subjects: Electrical engineering
Keywords: Contrast enhancement, Image processing, White balancing
Publication Number: 10111199
ISBN: 978-1-339-74409-4
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