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Related Concept Videos

Color Vision01:24

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Direction-adaptive partitioned block transform for color image coding.

Chuo-Ling Chang1, Mina Makar, Sam S Tsai

  • 1Systems Laboratory, Stanford University, Stanford, CA 94305, USA. chuoling@stanford.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 11, 2010
PubMed
Summary
This summary is machine-generated.

The direction-adaptive partitioned block transform (DA-PBT) enhances image coding by adapting to directional features, outperforming conventional methods. This new transform reduces artifacts and improves visual quality for directional image content.

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Area of Science:

  • Image and Video Coding
  • Digital Signal Processing
  • Computer Vision

Background:

  • Conventional image coding methods like 2-D DCT struggle with directional features, leading to artifacts.
  • Exploiting directional information is crucial for improving compression efficiency and visual quality.

Purpose of the Study:

  • To introduce a novel direction-adaptive partitioned block transform (DA-PBT) for enhanced image and video coding.
  • To improve coding performance by effectively utilizing directional features in image blocks.

Main Methods:

  • The DA-PBT adaptively selects between eight directional modes and a non-directional mode based on image block directionality.
  • It employs directional basis functions, optimized block partitioning, specific scanning orders, and tailored quantization matrices.
  • Incorporation into a rate-distortion optimized framework for direction selection and combination with block-based prediction.

Main Results:

  • DA-PBT outperforms the conventional 2-D DCT by over 2 dB for images with directional features.
  • Significantly reduces ringing and checkerboard artifacts around directional features.
  • Consistently outperforms previous directional DCT methods and shows gains in intra-coding for hybrid video coding.

Conclusions:

  • DA-PBT is a generalized transform that effectively exploits image directionality for superior coding performance.
  • It offers significant improvements in visual quality and artifact reduction compared to existing methods.
  • The transform shows promise for intra-coding applications in hybrid video coding.