Removal of Haze in Color Images using Histogram, Mean, and Threshold Values (HMTV)
Author(s):
Ramesh Kumar Thakur , Smt. S.R.Patel Engineering College,Dabhi(Gujarat)
Keywords:
Dehazed Image, Hazy Color Images, HMTV, Image Sharpening, Minimum Arithmetic Operation
Abstract:
In the present paper a novel, simple, and effective method – Histogram-Mean-Threshold value (HMTV) is proposed for removal of haze from an input color image. The HMTV is a new method for the removal of haze from hazy color images. This method relies on the fact that histogram of a hazy color image is distorted in a specific manner. Using this fact we processed hazy color images using histogram equalization, minimum arithmetic operation of images, image sharpening and mean shift filter. This is an adaptive method of histogram equalization with the help of mean value. Image sharpening and mean shift filter is applied to further enhance the quality of intermediate dehazed image resulted after adaptive process of histogram equalization.
Other Details:
| Manuscript Id | : | IJSTEV3I3092
|
| Published in | : | Volume : 3, Issue : 3
|
| Publication Date | : | 01/10/2016
|
| Page(s) | : | 186-191
|
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