Fractal image compression: theory and application
Fractal image compression: theory and application
A Novel Interactive Progressive Decoding Method for Fractal Image Compression
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Journal of Visual Communication and Image Representation
Fractal image compression based on spatial correlation and hybrid genetic algorithm
Journal of Visual Communication and Image Representation
Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards
Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards
Journal of Visual Communication and Image Representation
An improved no-search fractal image coding method based on a fitting plane
Image and Vision Computing
Image Quality Metrics: PSNR vs. SSIM
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image coding based on a fractal theory of iterated contractive image transformations
IEEE Transactions on Image Processing
A new method for image retrieval based on analyzing fractal coding characters
Journal of Visual Communication and Image Representation
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A progressive structure which takes the quadtree depth into consideration is proposed for fractal image coding. Simulation results show that its image quality at different received data rates is better than that without considering the quadtree level. Then, a hybrid fractal image coding scheme based on traditional and no-search fractal image coding with the proposed progressive structure is suggested. The image quality and compression ratio can be controlled by a threshold, which makes it downward compatible to the no-search fractal image coding. Experimental results justify that the progressive performance of the proposed scheme is better than that of traditional fractal image coding.