Abstract

This paper presents algorithms for parallel implementation of the recently reported binary tree triangular coding (BTTC ) method for lossy image compression. We present parallel BTTC algorithms for four models: (1) parallel random access machine (PRAM), (2) hypercube, (3) 2-D mesh, and (4) sparse mesh, with their respective time complexities as O((n/p) log(n/p)), O((n/p) (log(n/p) +log p)), O((n/p) (log(n/p)+log p)), and O((n/p) (log(n/p)+log p)) for encoding and θ(n/p), θ ((n/p) (1+log p)), θ((n/p) (1+log p)), and θ((n/p) (1+log p)) for decoding, wheren is total number of pixels in the image and p is number of processors.

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