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1 November 1992 Lapped block decoding for vector quantization of images
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Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992)
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
We have investigated an improved decoding paradigm for vector quantization of images. In this new decoding method, the dimension of the code vectors in the decoder is higher than that of the input vectors at the encoder, so that the area covered by each output vector extends beyond the input block of pixels into its neighborhood. The image is reconstructed as an overlapping patchwork of output blocks (code vectors), where the pixel values in the lapped region are obtained by summing the corresponding elements of the overlapping code vectors. With a properly designed decoder codebook, this lapped block decoding technique is able to improve the performance of VQ by exploiting the interblock correlation at the decoder. We have developed a recursive algorithm for designing a locally optimal decoder codebook from a training set of images, given a fixed VQ encoder. Computer simulation with both full search VQ and tree structured VQ encoders demonstrated that, compared to conventional VQ decoding, this new decoding technique reproduces images with not only higher SNR, but also better perceptual quality.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siu-Wai Wu and Allen Gersho "Lapped block decoding for vector quantization of images", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992);

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