IJAERS: Implementation of CQM on SSR Enhanced Images

IJAERS: Implementation of CQM on SSR Enhanced Images



C Bhargav, S Ahmed Basha, U Veeresh, K Prasad Babu 

Image enhancement is one of the key issues in
high quality pictures such as digital camera and HDTV. The image
enhancement targets on transforming input image as better one, so that
the enhanced image solve the purpose of specific application or set of
objectives. Since image clarity is very easily affected by lighting,
weather, or equipment that has been used to capture the image. These
conditions lead to image may suffer from loss of information. As a
result, many techniques have developed known as image enhancement
techniques to recover the information in an image. Contrast Stretching,
Histogram equalization is a primitive and well established technique for
enhancing image contrast but cannot preserve the brightness and color
of the original Image and Homomorphic filtering technique has the
problem of bleaching of the image. Modern technique like Single Scale
Retinex (SSR) performs much better than those listed above because it is
based on the color constancy theory and white balancing. Peak
Signal-to-Noise Ratio (PSNR) and Calculation of Quality Measurement(CQM)
are the measurable parameters which are considered in this project. 



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