Parallel fractal video coding using triangular partitioning scheme

Authors

  • Shruti U. Gurlhosur

Keywords:

fractal, video coding, triangular partitioning, GPU, compression, parallelism, speedup

Abstract

Over the last few decades, lots of research has been going on in video compression. Video compression technique is now mature as is proven by a large number of applications that make use of this technology. But as large space is required for the storage of video, video compression is required. Fractal is a lossy compression technique that has proven to give better compression and quality as compared to traditional compression techniques like DCT, Wavelet, etc. Video is compressed by the fractal compression method by removing the affine redundancy in the frame. This paper proposes an approach which not only removes the redundancy.

A Fractal based video compression method relies on the concept of self-similarity within a frame and between successive frames in a video. We are adopting the frame-based video compression method, where the first frame is encoded using the intraframe compression technique and subsequent frames are compressed using the inter-frame compression technique. We are going to use triangular fractal partitioning for range and domain generation and to see how triangular partitioning can affect fractal encoding. We can use a parallel approach for the implementation of fractal encoding.

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How to Cite

Shruti U. Gurlhosur. (2020). Parallel fractal video coding using triangular partitioning scheme. International Journal of Research & Technology, 8(1), 1–7. Retrieved from https://ijrt.org/j/article/view/111

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