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A mobile image enhancement technolog...

Qiao, Fahao.

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A mobile image enhancement technology for visually impaired.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A mobile image enhancement technology for visually impaired./
作者:	Qiao, Fahao.
面頁冊數:	66 p.
附註:	Source: Masters Abstracts International, Volume: 54-05.
Contained By:	Masters Abstracts International54-05(E).
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590505
ISBN:	9781321799910

A mobile image enhancement technology for visually impaired.
Qiao, Fahao.

A mobile image enhancement technology for visually impaired. - 66 p.

Source: Masters Abstracts International, Volume: 54-05.

Thesis (M.S.)--Michigan Technological University, 2015.

In this thesis, an image enhancement application is developed for low-vision patients when they use iPhones to see images/watch videos. The thesis has two contributions. The first contribution is the new image enhancement algorithm which combines human vision features. The new image enhancement algorithm is modified from a wavelet transform based image enhancement algorithm developed by Dr. Jinshan Tang. Different from the original algorithm, the new image enhancement algorithm combines human visual feature into the algorithm and thus can make the new algorithm more effective. Experimental simulation results show that the proposed algorithm has a better visual results than the algorithm without combining visual features. The second contribution of this thesis is the development of a mobile image enhancement application. In this application, users with low-vision can see clearer images on an iPhone which is installed with the application I have developed.

ISBN: 9781321799910Subjects--Topical Terms:

3172799
Medical imaging.

A mobile image enhancement technology for visually impaired.
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520 $a In this thesis, an image enhancement application is developed for low-vision patients when they use iPhones to see images/watch videos. The thesis has two contributions. The first contribution is the new image enhancement algorithm which combines human vision features. The new image enhancement algorithm is modified from a wavelet transform based image enhancement algorithm developed by Dr. Jinshan Tang. Different from the original algorithm, the new image enhancement algorithm combines human visual feature into the algorithm and thus can make the new algorithm more effective. Experimental simulation results show that the proposed algorithm has a better visual results than the algorithm without combining visual features. The second contribution of this thesis is the development of a mobile image enhancement application. In this application, users with low-vision can see clearer images on an iPhone which is installed with the application I have developed.
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