Quadtree Partition Encoding Model Based on Weighted Information

Zhan Wei Du; Yong Jian Yang; Yong Xiong Sun; Chi Jun Zhang

doi:10.4028/www.scientific.net/AMM.44-47.3378

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Quadtree Partition Encoding Model Based on...

Quadtree Partition Encoding Model Based on Weighted Information

Abstract:

In the Quadtree Partition, Images need to be encoded. IFS provides this issue a unique way. According to it, we construct the IFS model based on quadtree segmentation and find the model’s Hutchinson operator and IFS attractor. Based on the above, we re-establish WEMSDNM, during which traits of the field of business domain stand out. Comparing with the traditional algorithms by experiment, the result indicates that its performance has been improved to a certain extent.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3378-3382

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3378

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Online since:

December 2010

Authors:

Zhan Wei Du, Yong Jian Yang, Yong Xiong Sun, Chi Jun Zhang

Keywords:

Hutchinson, IFS, Information Theory, Nature Measure, Quadtree Partition, Self-Similar Dimension

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