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Related Concept Videos

Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...

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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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A lossless image compression algorithm using variable block size segmentation.

N Ranganathan1, S G Romaniuk, K Rao Namuduri

  • 1Center for Microelectron. Res., Univ. of South Florida, Tampa, FL.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
Summary

This study introduces a novel lossless image compression method that reduces data size by exploiting local and global redundancy. The proposed algorithm outperforms existing methods like JPEG and Huffman coding.

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Area of Science:

  • Digital Image Processing
  • Data Compression
  • Computer Vision

Background:

  • Digital image representation contains redundancy, categorized as local and global.
  • Understanding these redundancies is key to efficient image compression.

Purpose of the Study:

  • To analyze image characteristics causing local and global redundancy.
  • To propose a lossless image compression scheme leveraging both redundancy types for maximum efficiency.

Main Methods:

  • Image segmentation into variable-sized blocks.
  • Pixel characteristic-based encoding within blocks.
  • Software implementation and performance evaluation.

Main Results:

  • The proposed algorithm effectively exploits both local and global redundancy.
  • Achieved superior compression efficiency compared to established lossless methods.
  • Demonstrated better performance than Huffman, arithmetic, Lempel-Ziv, and JPEG.

Conclusions:

  • The developed lossless image compression scheme offers significant improvements.
  • Exploiting both local and global image redundancy is a viable strategy for high compression efficiency.