Implementation of CQM on SSR Enhanced Images

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

Calculation of Quality Measurement (CQM ), Image Enhancement , Peak Signal-to-Noise Ratio (PSNR), Single Scale Retinex, White Balancing.

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.