A compression method of EIs in integral imaging

Abstract

Integral Imaging is a technique capable of reproducing a continuous parallax, full-color, continuous point of view, and real perspectives of the scene.Since the amount of information contained in an element image array(EIA) is far greater than ordinary image, the storage and transmission caused great difficulties. When the difference between the depths of most objects in the scene is not great, and the distance from the camera to the objects is not far. For the above case, this paper proposes a method to compress the element images(EIs) . Since the resolution of each element image(EI) is small, so the matching displacements of all pixels in one EI are nearly the same. For instance, one Integral Image is composed of 12×1 EIs, and each resolution of each EI is 20×20. If the matching displacement between adjacent EIs is 5 pixels, then pick out 1 EI from every 4 EIs at the same interval, so we can get 3 EIs. Next, splice the 3 EIs together to form one image. Processing the remaining EIs in the same way, at last we can get a total of 4 spliced images. Compress the 4 spliced images with video compression method.