Abstract
In this paper a new image coding scheme based on the uniform morphological sampling is presented. In the proposed algorithm, the image is sub-sampled uniformly using a sampling grid of squares of size 4 in Heijmans method. The sampling process is equivalent to decomposing the image into 4×4 blocks and each block is represented by its minimum intensity (sample value). The residual blocks are then classified into uniform and non-uniform blocks according to a discrete gradient. The uniform blocks are represented by their mean value. Each non-uniform block is represented by its minimum value and a block (vector) chosen among a predetermined codebook blocks (vectors). The uniform and non-uniform blocks are coded by a different number of bits. Also, a hierarchical version is proposed which provides a higher compression ratio for an approximately equivalent visual quality. Several experiments are made, and compression ratios of 22.64 to 25.19 for a good visual quality of reconstructed images are obtained.
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Saryazdi, S., Jafari, M. (2002). A High Performance Image Coding Using Uniform Morphological Sampling, Residues Classifying, and Vector Quantization. In: Shafazand, H., Tjoa, A.M. (eds) EurAsia-ICT 2002: Information and Communication Technology. EurAsia-ICT 2002. Lecture Notes in Computer Science, vol 2510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36087-5_31
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DOI: https://doi.org/10.1007/3-540-36087-5_31
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