Region-Based Image Classification for Automatic Color Correction

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but image classification usually relies on global image features only. Our region-based approach shows a significant improvement over previously achieved classification for a variety of critical image classes. Improved image classification can directly be translated into improved automatic color correction.

• Publication year

  2003

• Venue

  International Conference on Communications in Computing

• Publication date

  2003-01-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.2352/CIC.2003.11.1.art00011
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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