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Fractal Image Interpolation: A Tutorial and New Result

Canaan Semiconductor Limited, Hong Kong, China
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Fractal Fract 2019, 3(1), 7;
Received: 16 December 2018 / Revised: 13 February 2019 / Accepted: 20 February 2019 / Published: 23 February 2019
This paper reviews the implementation of fractal based image interpolation, the associated visual artifacts of the interpolated images, and various techniques, including novel contributions, that alleviate these awkward visual artifacts to achieve visually pleasant interpolated image. The fractal interpolation methods considered in this paper are based on the plain Iterative Function System (IFS) in spatial domain without additional transformation, where we believe that the benefits of additional transformation can be added onto the presented study without complication. Simulation results are presented to demonstrate the discussed techniques, together with the pros and cons of each techniques. Finally, a novel spatial domain interleave layer has been proposed to add to the IFS image system for improving the performance of the system from image zooming to interpolation with the preservation of the pixel intensity from the original low resolution image. View Full-Text
Keywords: image interpolation; super-resolution; fractal image interpolation; super-resolution; fractal
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Kok, C.W.; Tam, W.S. Fractal Image Interpolation: A Tutorial and New Result. Fractal Fract 2019, 3, 7.

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