A Novel Approach to Identify the Presence of Noise in Under Water Sea Images
Banu Kamal · 2014
This study applies a technique to find the noise presence in the given color image. Here the underwater sea images are taken for study. The presence of noise on the image is analyzed with the distribution of intensity values of all components of image spread. The image is polluted by different types of noises like salt & pepper , speckle, Gaussian and Poisson noise. This paper indentifies the occurrence of noises in these images and removes it. Hence the proposed algorithm is organized in three steps. In the first step, the suitable color model is chosen to identify the presence of noises in the given color image. In the second step, the occurrence of noises in the images is identified. In the third step, identified noises are removed by analyzing intensity distribution of affected image and applying Point Spread Function ( PSF) . The performance of this algorithm is analyzed using occurrences of last intensity level set.