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Quantifying Intermembrane Distances with Serial Image Dilations
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A No-Reference Adaptive Blockiness Measure for JPEG Compressed Images.

Chaoying Tang1, Biao Wang1

  • 1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

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Summary

This study introduces a new objective method to measure JPEG blocking artifacts without needing the original image. The proposed no-reference blockiness measure accurately assesses image quality across various content types.

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Area of Science:

  • Digital image processing
  • Image compression algorithms
  • Computer vision

Background:

  • JPEG compression is widely used for digital images, leading to blocking artifacts.
  • Accurate measurement of these artifacts is crucial for algorithm development and evaluation.
  • Existing methods often require the original image, limiting their practical application.

Purpose of the Study:

  • To develop a no-reference objective blockiness measure for JPEG compressed images.
  • To create a metric adaptive to varying image frequencies and content.
  • To provide a reliable tool for real-world image quality assessment.

Main Methods:

  • Proposed a no-reference objective blockiness measure.
  • Utilized difference of entropies across blocks for low-frequency areas.
  • Employed variation of block boundary pixel values in edge images for high-frequency areas.

Main Results:

  • The proposed measure demonstrated effectiveness and stability across diverse image datasets.
  • The method proved robust against image noise.
  • Experimental results validated the accuracy of the blockiness assessment.

Conclusions:

  • The developed no-reference blockiness measure is effective for evaluating JPEG image compression artifacts.
  • The metric's adaptability and robustness make it suitable for real-world image quality monitoring.
  • This objective measure aids in the design and optimization of image compression techniques.