NDLI: A Novel Image Interpolation Technique Based on Fractal Theory

Content Provider	IEEE Xplore Digital Library
Author	Zaifeng Shi Suying Yao Bin Li Qingjie Cao
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. Inf. & Eng., Tianjin Univ., Tianjin (Zaifeng Shi; Suying Yao; Bin Li)
Abstract	Fractal interpolation can be used for scaling-up natural images, and it can retain the texture characters of the image well. But this approach must calculate the Hausdorff dimension first which is difficult to calculate by old ways, like Box-Counting approach and others. This paper proposes a new K dimension which is approximated to Hausdorff dimension and proposes an efficient way to calculate this dimension. Then we use the fractal Brownian motion (FBM) approach in the process of interpolation and get the post-processing images. In the end, the hardware architecture for fast implementation is proposed. Comparing to the other two traditional interpolation approaches, this approach can dramatically reduce the loss of the imagepsilas high-frequency components in scaling-up processing and easily applied in hardware design.
Starting Page	472
Ending Page	475
File Size	407596
Page Count	4
File Format	PDF
ISBN	9780769533087
DOI	10.1109/ICCSIT.2008.185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-29
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Interpolation Feathers Fractal dimension Fractal interpolation Fractals Hardware Mathematical model Image scaling Pixel
Content Type	Text
Resource Type	Article

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