A layered depth image (LDI) is a new popular
representation and rendering method for objects with complex geometries. Similar
to a 2D image, the LDI consists of an array of pixels. However, unlike the 2D
image, an LDI pixel has depth information, and there are multiple layers at
a pixel location. Multiple views can be generated from the same LDI image, as
shown in Figure 1.
In this project, we develop a novel LDI compression
algorithm that handles the multiple layers and the depth coding. The algorithm
records the number of LDI layers at each pixel location, and compresses LDI
color and depth components separately. The pixels in LDI layer is sparse, the
data is aggregated and then encoded. An empirical rate-distortion model is used
to optimally allocate bits among different components. Compared with benchmark
compression tools such as JPEG-2000 and MPEG-4, our scheme improves the compression
performance significantly.
For furthur details of LDI compression, please refer
to the related publications: