JOURNAL ARTICLE

Adaptive fractal intra-frame video coding technique using parallel GPU environment

Abstract

Due to the increase in the usage of computers and internet, the demand for higher transmission speed and lower storage is increasing as well. This leads to the necessity fo r video compression. Image encoding is framed upon the fractal coding method. This method is based on the assumption that image redundancy can be efficiently explored through self-block transformability. It has shown good results in producing resolution independent, high-fidelity images. The decoding process, which has low complexity, also suggests use in real time applications. The high encoding time has unfortunately produced discouraging results. In this paper, a new approach is depicted where a comparison of range blocks with the domain pool is implemented using a parallel approach.

Keywords:
Computer science Decoding methods Fractal compression Coding (social sciences) Fractal Fidelity Data compression Redundancy (engineering) Context-adaptive binary arithmetic coding Parallel computing Encoding (memory) Image compression Algorithm Computer vision Artificial intelligence Image processing Image (mathematics)

Metrics

1
Cited By
0.43
FWCI (Field Weighted Citation Impact)
21
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mathematical Dynamics and Fractals
Physical Sciences →  Mathematics →  Mathematical Physics
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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