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Related Concept Videos

Histogram01:05

Histogram

The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...

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Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

Power-constrained contrast enhancement for emissive displays based on histogram equalization.

Chulwoo Lee1, Chul Lee, Young-Yoon Lee

  • 1School of Electrical Engineering, Korea University, Seoul, Korea. wiserain@korea.ac.kr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 16, 2011
PubMed
Summary

This study introduces a novel power-constrained contrast enhancement algorithm for emissive displays using histogram equalization (HE). The method reduces power consumption and improves image quality for both still images and videos.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Display Technology

Background:

  • Conventional histogram equalization (HE) can cause overstretching artifacts.
  • Power consumption is a critical factor for emissive displays.
  • Simultaneous contrast enhancement and power saving are desirable for display technologies.

Purpose of the Study:

  • To propose a power-constrained contrast enhancement algorithm for emissive displays.
  • To mitigate overstretching artifacts associated with traditional HE.
  • To achieve simultaneous image enhancement and power reduction.

Main Methods:

  • A log-based histogram modification scheme was developed to reduce artifacts.
  • A power-consumption model for emissive displays was created.
  • Convex optimization theory was used to minimize an objective function balancing contrast and power.

Main Results:

  • The proposed algorithm effectively reduces power consumption in emissive displays.
  • Significant improvements in image contrast and perceptual quality were achieved.
  • The algorithm demonstrated successful application to both still images and video sequences.

Conclusions:

  • The developed algorithm offers a viable solution for power-efficient contrast enhancement.
  • It addresses limitations of conventional HE while improving visual quality.
  • This approach is beneficial for enhancing visual content on power-sensitive emissive displays.