Abstract
The layered depth image (LDI) is a popular approach to represent three-dimensional objects with complex geometry for image-based rendering (IBR). LDI contains several attribute values together with multiple layers at each pixel location. In this paper, we propose an efficient preprocessing algorithm to compress depth and color information of LDI. Considering each depth value as a point in the two-dimensional space, we compute the minimum distance between a straight line passing through the previous two values and the current depth value. Finally, the current attribute value is replaced by the minimum distance. The proposed algorithm reduces the variance of the depth information; therefore, it improves the transform and coding efficiency.
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