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Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Shadow removal using bilateral filtering.

Qingxiong Yang1, Kar-Han Tan, Narendra Ahuja

  • 1Department of Computer Science, City University of Hong Kong, Hong Kong. qiyang@cityu.edu.hk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 26, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an automatic shadow removal technique using a single RGB image. It effectively removes shadows by decomposing and recombining image layers, without needing prior shadow detection.

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Area of Science:

  • Computer Vision
  • Image Processing

Background:

  • Shadows in images reduce visual quality and hinder analysis.
  • Existing shadow removal methods often require manual intervention or shadow detection.

Purpose of the Study:

  • To develop an automatic and effective shadow removal method for single RGB images.
  • To improve image quality by accurately recovering luminance and preserving details.

Main Methods:

  • Deriving a 2-D intrinsic image from RGB color and chromaticity.
  • Recovering a 3-D intrinsic image using bilateral filtering.
  • Decomposing images into base and detail layers for luminance correction.

Main Results:

  • Successfully reduced luminance contrast in similar reflectance regions.
  • Preserved contrast in regions with different surface reflectances.
  • Generated a shadow-free image by combining base and detail layers.

Conclusions:

  • The proposed method offers a fully automatic shadow removal solution.
  • It effectively transfers intrinsic image details to correct luminance values.
  • Eliminates the need for explicit shadow detection in the process.