Different approaches for implementation of Fractal Image Compression on medical images

Padmashree, S.; Nagapadma, Rohini

doi:10.1109/iceeccot.2016.7955187

Cited by 5 publications

(2 citation statements)

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“…However, the PFI based image interpolation usually achieves good subjective performance, which is one of the reasons why fractal image interpolation algorithms have been adopted into many commercial image enlargement software, and is still actively investigated in literature [2][3][4][5][6]. It has been reported in [7,8] that, for some image interpolation applications, such as medical image interpolation, the preservation of image shape (structure) is far more important than the objective quality of the interpolated image. As a result, Ref.…”

Section: Introductionmentioning

confidence: 99%

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Fractal Image Interpolation: A Tutorial and New Result

Kok¹,

Tam²

2019

Fractal Fract

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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.

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Section: Introductionmentioning

confidence: 99%

“…As a result, Ref. [7] has proposed the application of IFS based image interpolation for medial image interpolation. Recently, fractal image interpolation has also found applications in other fields, such as image encryption [9] and depth map interpolation in 3D computer graphic [10], etc.…”

Section: Introductionmentioning

confidence: 99%