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Title: Novel hybrid method for the enhancement of low exposure images
Authors: Kaur, Manveer
Supervisor: Verma, Karun
Tekchandani, RajKumar
Keywords: Image Enhancement;Probability Density function;CDF;Histogram Equilization
Issue Date: 22-Aug-2016
Abstract: Capturing of the images through smart phones or digital cameras has become very common activity in recent years. Even if there had been a lot of advancement in the cameras’ quality in the recent years, but still the images taken by them in underwater medium or dim light conditions are subject to low exposure problem. This conditions, results in low contrast images where the finer and the valuable information is often lost for further processing. Hence, their enhancement is necessary to retrieve the information of the interest. The proposed method is hybrid method that is very effective in enhancing the images taken in underwater medium and in dim light conditions such as night vision images. The method undergoes three main steps: first, the image that is to be enhanced is passed to neural network which will give the value by which the enhancement in the image can be done. In second step, the clipping of the histogram is done according to the value calculated in the first step. In third step: the image’s histogram is divided into four parts based upon exposure values then histogram equalization method is applied to all the four parts individually. The performance of the proposed method is assessed on the basis of three parameters. Entropy i.e. information content in the image and two error matrices: Mean Square Error (MSE) and Peak Signal to noise ratio (PSNR) values are used for the assessment the performance of the method.
Appears in Collections:Masters Theses@CSED

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