Date of Award:
8-2015
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Vladimir Kulyukin
Committee
Vladimir Kulyukin
Committee
Curtis Dyreson
Committee
Nicholas Flann
Abstract
Efficient detection of image blur and its extent is an open research problem in computer vision. Image blur has a negative impact on image quality. Blur is introduced into images due to various factors including limited contrast, improper exposure time or unstable device handling. Toward this end, an algorithm is presented for image blur detection with the use of Two-Dimensional Haar Wavelet transform (2D HWT). The algorithm is experimentally compared with two other image blur detection algorithms frequently cited in the literature. When evaluated over a sample of images, the algorithm performed on par or better than the two other blur detection algorithms.
Checksum
17e6881fed294c7220622ea03556f713
Recommended Citation
Andhavarapu, Sarat Kiran, "Image Blur Detection with Two-Dimensional Haar Wavelet Transform" (2015). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4443.
https://digitalcommons.usu.edu/etd/4443
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