1 / 10

A Dynamic Histogram Equalization for Image Contrast Enhancement

A Dynamic Histogram Equalization for Image Contrast Enhancement. Source: IEEE Transactions on Consumer Electronics, Vol. 53, No. 2, MAY 2007 Author: M. Abdullah-A-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, and Oksam Chae

amandafrank
Download Presentation

A Dynamic Histogram Equalization for Image Contrast Enhancement

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A Dynamic Histogram Equalization for Image Contrast Enhancement • Source: IEEE Transactions on Consumer Electronics, Vol. 53, No. 2, MAY 2007 • Author: M. Abdullah-A-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, and Oksam Chae • Speaker: Chih-Hao Chen • Date: 2008/04/30

  2. Introduction Original Image Processed Image

  3. Proposed Method(1/4) Input Image Output Image Phase1 Phase2 Histogram Input Image Output Image 0 1 2 3 4 255 0 1 2 3 4 255

  4. Proposed Method(2/4) One-dimensional smoothing filter: p0: Theprocessing pixel H1 1 2 3 4 H2

  5. Proposed Method(3/4) Marked area 1 2 3 1 2 3 4 5 6 u: mean value s: standard deviation If marked area is less than 68.3% of current sub-histogram, splits again.

  6. Proposed Method(4/4) Original image Output image Sectioni: Gray level range of sub-histogram i Si: The summation of all histogram values of ith sub- histogram x: Thecoefficientto control the strength of image contrast

  7. Experimental Results(1/3) (a) Original image (b)-(e) DHEed image (x = 0, 1, 2, 4, accordingly).

  8. Experimental Results(2/3) (a) Original image, (b) GHEed image, (c) DHSed image, (d) RMSHEed image (r = 2), (e) DHEed image (x = 0).

  9. Experimental Results(3/3) (a) Original image (b) GHEed image (c) DHSed image (d) RMSHEed image with r = 2 (e) DHEed image with x= 0.

  10. Conclusions • DHE enhances the image contrast without making any loss in image details. • This method is simple and easy to implement.

More Related