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Related Concept Videos

Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.

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Related Experiment Video

Updated: Jul 2, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

On dictionary adaptation for recurrent pattern image coding.

Nuno M M Rodrigues1, Eduardo A B da Silva, Murilo B de Carvalho

  • 1Instituto de Telecomunicações, Universidade de Coimbra-Pólo II, Coimbra, Portugal. nuno.rodrigues@co.it.pt

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 15, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an improved multidimensional multiscale parser (MMP) for image coding, enhancing dictionary adaptation and efficiency. The new MMP algorithm offers significant gains over traditional methods, especially for complex images.

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Area of Science:

  • Computer Science
  • Image Processing
  • Information Theory

Background:

  • Traditional image coding relies on transform quantization methods.
  • Multidimensional multiscale parser (MMP) is a novel coding algorithm.
  • Existing MMP methods can be improved for greater efficiency.

Purpose of the Study:

  • To enhance the multidimensional multiscale parser (MMP) algorithm for image coding.
  • To improve the efficiency of MMP's dictionary adaptation using predictive coding.
  • To introduce new dictionary design methods for better codebook redundancy and element introduction.

Main Methods:

  • Exploiting approximate pattern matching with adaptive multiscale dictionaries.
  • Implementing predictive coding schemes to modify source probability distributions.
  • Utilizing statistical conditioning for increased coding efficiency of dictionary symbols.
  • Developing new dictionary design strategies balancing element introduction and redundancy reduction.

Main Results:

  • Proposed techniques show consistent improvements in Peak Signal-to-Noise Ratio (PSNR) over the original MMP algorithm.
  • The enhanced MMP algorithm achieves significant gains (up to 6 dB) for non-smooth images compared to JPEG2000 and H.264/AVC.
  • Competitive results are obtained for smooth images, demonstrating broad applicability.

Conclusions:

  • The enhanced MMP algorithm offers a viable alternative to traditional image coding paradigms.
  • The proposed methods significantly improve coding efficiency and performance across various image types.
  • MMP represents a promising new direction for image compression technology.