REAL TIME FRACTAL VIDEO FOR PERSONAL COMMUNICATIONS

Fractals ◽  
1994 ◽  
Vol 02 (03) ◽  
pp. 391-394 ◽  
Author(s):  
DONALD M MONRO ◽  
JEREMY A NICHOLLS
Keyword(s):  
Image Coding ◽  
Video Sequence ◽  
Consumer Electronics ◽  
Video Sequences ◽  
Personal Communications ◽  
First Order ◽  
Coding Scheme ◽  
Fractal Image ◽  
Coding Systems ◽  
Talking Heads

Using a first order (bilinear) Bath Fractal Transform (BFT), we have obtained useful video sequences of talking heads with transmission rates as low as 40 KBits/sec. Previously, fractal image coding had been computationally asymmetric. In our work, 8 by 8 pixel blocks are coded in 250 µs and decoded in 200 µs on a 33 MHz i-486 based PC. This is of significance in consumer electronics, such as personal communications, where inexpensive coding systems will have an advantage over more expensive methods using DSP or custom chips to achieve the necessary speed. With a simple quantization and entropy coding scheme applied to standard QCIF frames, at 40 KBits/sec we achieve coding of 40% of each frame in a 25 Hz video sequence, equivalent to 100% at 10 Hz.

SECURE FRACTAL IMAGE CODING BASED ON FRACTAL PARAMETER ENCRYPTION

Fractals ◽  
2009 ◽  
Vol 17 (02) ◽  
pp. 149-160 ◽  
Author(s):  
SHIGUO LIAN ◽  
XI CHEN ◽  
DENGPAN YE
Keyword(s):  
Image Coding ◽  
Parameter Distribution ◽  
Self Similarity ◽  
Image Encoding ◽  
Coding Scheme ◽  
Fractal Image ◽  
Fractal Image Coding ◽  
Fractal Parameters ◽  
Fractal Encoding ◽  
Computational Resources

In recent work, various fractal image coding methods are reported, which adopt the self-similarity of images to compress the size of images. However, till now, no solutions for the security of fractal encoded images have been provided. In this paper, a secure fractal image coding scheme is proposed and evaluated, which encrypts some of the fractal parameters during fractal encoding, and thus, produces the encrypted and encoded image. The encrypted image can only be recovered by the correct key. To maintain security and efficiency, only the suitable parameters are selected and encrypted through investigating the properties of various fractal parameters, including parameter space, parameter distribution and parameter sensitivity. The encryption process does not change the file format, keeps secure in perception, and costs little time or computational resources. These properties make it suitable for secure image encoding or transmission.

Entropy Constrained Fractal Image Coding

Fractals ◽  
1997 ◽  
Vol 05 (supp01) ◽  
pp. 17-26 ◽  
Author(s):  
Kai Uwe Barthel
Keyword(s):  
Image Coding ◽  
Transform Coding ◽  
Variable Order ◽  
Coding Gain ◽  
Variable Size ◽  
Hierarchical Coding ◽  
Coding Scheme ◽  
Coding Schemes ◽  
Fractal Image ◽  
Block Sizes

In this paper we present an entropy constrained fractal coding scheme. In order to get high compression rates, previous fractal coders used hierarchical coding schemes with variable range block sizes. Our scheme uses constant range block sizes, but the complexity of the fractal transformations is adapted to the image contents. The entropy of the fractal code can be significantly reduced by introducing geometrical codebooks of variable size and a variable order luminance transformation. We propose a luminance transformation consisting of a unification of fractal and transform coding. With this transformation both inter- and intra- block redundancy of an image can be exploited to get higher coding gain. The coding results obtained with our new scheme are superior compared to conventional fractal and transform coding schemes.

A deep image coding scheme with generative network to learn from correlated images.

2021 ◽  
pp. 1-1
Author(s):  
Yihao Chen ◽  
Bin Tan ◽  
Jun Wu ◽  
Zhifeng Zhang ◽  
Haoqi Ren
Keyword(s):  
Image Coding ◽  
Coding Scheme ◽  
Deep Image
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