Results 11 to 20 of about 20,912 (250)
Fractals: An Eclectic Survey, Part II
Fractal and Fractional, 2022 Fractals are geometric shapes and patterns that can describe the roughness (or irregularity) present in almost every object in nature. Many fractals may repeat their geometry at smaller or larger scales.
Akhlaq Husain +3 more
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Журнал інженерних наук, 2019 Fractal image compression algorithm is known for allowing very high compression rates (the best examples – up to 1 000 times with acceptable visual quality) for real photos of natural objects, which is not possible for other lossy compression methods ...
Maydaniuk V. P. +2 more
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Journal of Algorithms & Computational Technology, 2019 Regarding the problems of insufficient image segmentation intelligence, low compression rate, slow speed for global searching to find the optimal fractal image compression encoding, and bad decoding effect, this article proposes the fractal image ...
Wenjing Li +3 more
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IEEE Access, 2021 By combining the basics of self-similarity, scaling correlation, and statistical components, Benoit Mandelbrot formulated the idea of a natural fractal entity, an entity described by those fundamentals.
Md Ahadullah +3 more
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Fractal face representation and recognition [PDF]
, 1997 This paper presents a face representation and recognition scheme based on the theory of fractals. Each face image is represented by its fractal model which is a small collection of transformation parameters.
He, Fangpo, Kouzani, Abbas, Sammut, Karl
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A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding
International Journal of Interactive Multimedia and Artificial Intelligence, 2016 Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time is a challenge.
Shailesh D. Kamble +2 more
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Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification [PDF]
, 2018 Objective: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value.
Jirka, Jakub +3 more
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Fractal Lossy Hyperspectral Image Coding Algorithm Based on Prediction
IEEE Access, 2017 At present, a hyperspectral image has a significant advantage in the aspect of application because of its high spectral resolution. However, owing to the limit of communication capacity, a hyperspectral image must be compressed. In this paper, we develop
Shiping Zhu, Xianzi Zong
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Development and analysis of IWT-SVD and DWT-SVD steganography using fractal cover
Journal of King Saud University: Computer and Information Sciences, 2022 The assurance of secret data transmitted over the Internet and confining its access to explicit grouped information has become a significant security and protection issue.
Asha Durafe, Vinod Patidar
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, 2001 This review paper is intended to give a useful guide for those who want to apply discrete wavelets in their practice. The notion of wavelets and their use in practical computing and various applications are briefly described, but rigorous proofs of ...
Dremin, I. M. +2 more
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