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Related Experiment Video

Updated: Jul 7, 2026

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Image compression with adaptive local cosines: a comparative study.

François G Meyer1

  • 1Dept. of Electr. Eng., Colorado Univ., Boulder, CO 80309-0425, USA. francois.meyer@colorado.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
PubMed
Summary
This summary is machine-generated.

Local cosine bases outperform wavelets for encoding periodic textures. This study compares image compression methods, finding narrow Fourier transform bells offer best PSNR but can cause artifacts.

Related Experiment Videos

Last Updated: Jul 7, 2026

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation
07:50

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

Published on: January 27, 2023

Area of Science:

  • Digital image processing
  • Signal processing
  • Data compression

Background:

  • Wavelet-based image coding is a standard, but may not be optimal for all image types.
  • Periodic textures present unique challenges for image compression algorithms.

Purpose of the Study:

  • To demonstrate the advantage of local cosine bases over wavelets for encoding images with periodic textures.
  • To compare the rate-distortion and visual quality of various optimized bells for image compression.

Main Methods:

  • Developed a novel image coder utilizing optimal segmentation with local cosine bases.
  • Coefficients were encoded using a scalar quantizer optimized for Laplacian distributions.
  • Conducted extensive comparisons of different bells on a large image collection.

Main Results:

  • The local cosine basis coder outperformed a leading wavelet coder on periodic texture images.
  • Bells designed for polynomial reproduction yielded the worst Peak Signal-to-Noise Ratio (PSNR) but fewer visual artifacts.
  • The bell with the narrowest Fourier transform achieved the best PSNR but introduced artifacts in smooth regions.

Conclusions:

  • Local cosine bases offer superior performance for images with periodic textures compared to wavelets.
  • Bell selection involves a trade-off between PSNR and visual artifact generation, especially at low bit rates.
  • The narrowest Fourier transform bell is optimal for PSNR but requires careful consideration for smooth image areas.