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Space Partitioning Image Processing Technique for Parallel Recursive Half Toning
Yoshinori TAKEUCHI Hiroaki KUNIEDA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1993/04/25
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Digital Signal Processing
parallel processing, recursive filtering, digital half tone, parallel algorithm, space partitioning processing,
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This paper studies a method for a parallel implementation of digital half toning technique, which converts continuous tone images into monotone one without losing fidelity of images. A new modified algorithm for half toning is proposed, which is able to be implemented on a rectangular or one dimensional parallel multi-processor array as a part of extensions of space partitioning image processings. The purpose of this paper is primarily to apply space partitioning local image processing technique to nonlinear recursive algorithms. The target is to achieve a fast half toning with high quality. For that propose, local directional error diffusion techniques will be introduced, which enable original recursive error diffusion half toning to be converted into a local processing algorithm without losing its original advantages of producing high quality images. The characteristics of proposed methods will be analyzed and the advantages of our algorithm of high speed processing and high quality will be demonstrated by showing the results of simulations for typical examples.