Depth Distortion Score Estimation in 3-D Image Retargeting using Disparity Map

Depth distortion in an image yields some geometric errors which leads certain image quality degradation. Therefore, it is important to enhance the depth information in the left as well as right stereo images and achieve them in a substantial way. The Disparity Map Acquisition (DMA) algorithm gives rise to the depth distortion with improved disparity matrix. In this paper, we emphasis on depth score enhancement in 3D stereo images retargeting to accomplish the acceptable 3D images with improved depth distortion score. The experimental results show the stereo seam carving which deconsideres the unwanted image patches in order to generate an acceptable 3D stereo images. The obtained 3D stereo images are widely used in the applications of 3D animated movies by abolishing the blurriness in the stereo images and generate the images where the users can relish with the better visual effects. This may lead to the non-usability of 3D sterilize googles and eventually helps and reduces the burden on Indian economy.