Tuesday 21st of November 2017
 

Using Discrete Wavelet Transformation To Enhance Underwater Image


Ali A. Yassin, Rana M. Ghadban, Salah F. Saleh and Hikmat Z. Neima

The underwater image suffers from two main problems. The first is light absorption and the second is the losing colors. These two problems cause losing the basic features of images. A new active approach is presented in this paper to solve the mentioned problems, which depends Discrete Wavelet Transform (DWT), Hue saturation value color space (HSV), and Slide Stretching. Firstly the underwater image is transformed to the HSV color space, then DWT is applied on the layer H of this image which divides this layer to the four parts according to the importance of the data. Secondly, the part which has much data (called Low-Low (LL)) is used with the slide stretching to increase the clarity of color ( lost color compensation ), on the other hand it provides a suitable solution for the light absorption. The proposed approach has accomplished high processing performance time through focusing on the important part of image by using the DWT. Besides, we did an enhancement in the image that had lost its data and at the same time there are no sources of the image to compare with it. Along with, we noted that the amount of compensation up to its highest level. We gained high ratio of the image enhancement which succeeds up to 98.08%. In addition , the performance time decreases and the compensation ratio of the enhanced image is increases.

Keywords: DWT, HSV, Underwater Image, Enhancement

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ABOUT THE AUTHORS

Ali A. Yassin
Basrah University, Education College, Computer Department,Basrah,61004, Iraq

Rana M. Ghadban
Basrah University, Science College, Computer Department, Basrah,61004, Iraq

Salah F. Saleh
Basrah University, Education College, Computer Department,Basrah,61004, Iraq

Hikmat Z. Neima
Basrah University, Science College, Computer Department, Basrah,61004, Iraq


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