KEYWORDS: Image compression, Integral imaging, Image resolution, 3D acquisition, Video coding, 3D image processing, Imaging arrays, Chemical elements, Image storage, Image transmission
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.
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