Compressing Stereo Images Using a Reference Image and the Exhaustive Block Matching Algorithm to Estimate Disparity between the Two Images

نویسنده

  • Ashish Agarwal
چکیده

One method to compress a pair of stereo images is to compress the first image independently and then compress the second image by estimating the disparity between the two images. The first image was transformed using 2-D Discrete Cosine Transform, quantized using the JPEG quantization matrix and finally encoded into a bitstream using arithmetic encoding. The disparity between the two images was estimated by the Exhaustive Block Matching Algorithm (EBMA) and the resulting disparity vector was then encoded into a bitstream. The images were then decoded and were compared with the original images.

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تاریخ انتشار 2011