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Extraction: Partition and Distribution Coefficients01:14

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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Published on: August 30, 2013

A novel fractal image compression scheme with block classification and sorting based on Pearson's correlation

Jianji Wang1, Nanning Zheng

  • 1Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an 710049, China. jianjiwang@foxmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 26, 2013
PubMed
Summary

This study introduces a faster Fractal Image Compression (FIC) method using Pearson

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Area of Science:

  • Digital image processing
  • Image compression algorithms

Background:

  • Fractal Image Compression (FIC) is vital for image retrieval, denoising, authentication, and encryption.
  • FIC's primary limitation is its high encoding complexity, hindering practical application.
  • Existing methods often compromise encoding speed or image quality.

Purpose of the Study:

  • To develop a novel Fractal Image Compression (FIC) scheme that significantly reduces encoding time.
  • To maintain high reconstructed image quality despite accelerated encoding.
  • To leverage the correlation between block similarity and Pearson's correlation coefficient for efficiency.

Main Methods:

  • Proposed a new FIC scheme correlating affine similarity with the absolute value of Pearson's correlation coefficient (APCC).
  • Implemented an APCC-based block classification to enhance block matching probability.
  • Developed a domain block sorting strategy to optimize search within selected domain sets.

Main Results:

  • The proposed FIC scheme demonstrates a significant reduction in encoding time.
  • Reconstructed image quality is well-preserved, meeting user requirements.
  • The APCC-based classification and search strategy effectively speeds up the FIC encoding process.

Conclusions:

  • The novel FIC scheme effectively addresses the high computational complexity of encoding.
  • This method offers a practical solution for faster image compression without sacrificing quality.
  • The APCC correlation provides an efficient basis for optimizing FIC encoding.