Proposing a New Method for Underwater Images Quality Enhancement in the YIQ Color Space

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HOSSEINI ALI; Shayegan Mohammad Amin; Sedighi Saeed

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Journal Paper

Paper Information

Journal: MACHINE VISION AND IMAGE PROCESSING Year:2019 | Volume:6 | Issue:1 Page(s): 47-64

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Title

Proposing a New Method for Underwater Images Quality Enhancement in the YIQ Color Space

Author(s)

HOSSEINI ALI | Shayegan Mohammad Amin | Sedighi Saeed | Issue Writer Certificate

Keywords

Contrast Enhancement

image processing

Underwater Images

YIQ Color Space

Histogram Equalization

Abstract

Most intelligent underwater vehicles and remote control marine vehicles are usually equipped with optical cameras for underwater photography. However, due to water properties and its impurity, the quality of the images taken by these imaging equipment is not desirable, enough. Because, water reduces the light and by increasing the deep of water, the further light will diminish, which will result in the absorption of colors by water. Hence, image processing operations are crucial for Underwater Images. In this paper, a new method has been proposed to improve the contrast and quality of Underwater Images. In the proposed method, the two methods of contrast stretching and Histogram Equalization have been employed. In the Histogram Equalization phase, new methods have been introduced for thresholding and histogram clipping. The proposed method has been applied on a benchmark images dataset and the results have been compared with the results of common methods. The analysis of the proposed method results, compared to the Sathya et al., which is the best method compares to other rival methods, shows 40. 16% increase in the contrast of the images, in the best case.

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APA: Copy

HOSSEINI, ALI, Shayegan, Mohammad Amin, & Sedighi, Saeed. (2019). Proposing a New Method for Underwater Images Quality Enhancement in the YIQ Color Space. MACHINE VISION AND IMAGE PROCESSING, 6(1 ), 47-64. SID. https://sid.ir/paper/363527/en

Vancouver: Copy

HOSSEINI ALI, Shayegan Mohammad Amin, Sedighi Saeed. Proposing a New Method for Underwater Images Quality Enhancement in the YIQ Color Space. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2019;6(1 ):47-64. Available from: https://sid.ir/paper/363527/en

IEEE: Copy

ALI HOSSEINI, Mohammad Amin Shayegan, and Saeed Sedighi, “Proposing a New Method for Underwater Images Quality Enhancement in the YIQ Color Space,” MACHINE VISION AND IMAGE PROCESSING, vol. 6, no. 1 , pp. 47–64, 2019, [Online]. Available: https://sid.ir/paper/363527/en

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