Depth Accuracy Determination in 3-D Stereoscopic Image Retargeting using DMA

Abstract

Selecting the proper aspect ratio and managing the image depth can improve the visual quality of image in terms of lowering or minimizing the depth distortion score. The technology enhanced by observing the people habit to carry the small mobile handheld devices and their interest in watching the contents over it. So, the technology improved by retargeting the images with different sizes and aspect ratio by still preserving the image contents without cropping or scaling the originality. The popular stereo image retargeting method is proposed to visualize the 3D images in better aspect for human stereo visual experience to viewer. We conduct the experimental result that shows the adjustment of aspect ratio in order to achieve the better visualization effect and less depth distortion in the image. During the retargeting processing, the usability of depth similarity is used. The depth similarity can be applied before and after the retargeting. The Disparity Map Acquisition (DMA) along with its modified version will give the better 3D visual effects.