Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
DOI: 10.1109/icip.1998.723602
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Region-based fractal image compression using deterministic search

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Cited by 3 publications
(3 citation statements)
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“…This process is repeated until no more triangles are formed. There are other types of partitioning techniques proposed, such as right angle irregular shape partitioning technique (Breazu and Toderean, 1998;Hartenstein and Saupe, 2000); Belloulata and Konard (2002) use the rectangular range, and domain block for best matching in this boundary blocks is divided into different regions; Ochotta and Saupe (2004) worked on the split and merge partitioning scheme. In this partitioning scheme, the process of partitioning is divided into two phases, i.e., splitting and merging.…”
Section: Challenges In Fractal Codingmentioning
confidence: 99%
“…This process is repeated until no more triangles are formed. There are other types of partitioning techniques proposed, such as right angle irregular shape partitioning technique (Breazu and Toderean, 1998;Hartenstein and Saupe, 2000); Belloulata and Konard (2002) use the rectangular range, and domain block for best matching in this boundary blocks is divided into different regions; Ochotta and Saupe (2004) worked on the split and merge partitioning scheme. In this partitioning scheme, the process of partitioning is divided into two phases, i.e., splitting and merging.…”
Section: Challenges In Fractal Codingmentioning
confidence: 99%
“…To find optimal transformations (irregularly-shaped range blocks and corresponding transformations) for a given distortion, an exhaustive search of the space of blocks needs to be performed. Since this is hardly practical, suboptimal but computationally-efficient approaches have been proposed, such as heuristic algorithm [14], evolutionary algorithm [15], [16] and deterministic search [17]. Note, that the described method creates image partitioning during encoding and does not use any prior partitioning, unlike in MPEG-4.…”
Section: Fractal Image Coding With Irregularly-shaped Range and mentioning
confidence: 99%
“…In fine-to-coarse quadtree partitioning [13] small blocks are merged into larger blocks within a quadtree. Alternatively, neighboring range blocks can be merged without the quadtree restriction; rightangled irregularly-shaped (IS) range blocks result [14], [15], [16], [17], [18]. Although the range, and consequently domain blocks, can take on a variety of shapes, this method creates partitions based on thresholding a simple local metric and cannot, in general, produce semantically-meaningful regions.…”
Section: Introductionmentioning
confidence: 99%