Performance metrics for image contrast

Author

Tripathi, Abhishek Kumar ; Mukhopadhyay, Sudipta ; Dhara, Ashis Kumar

Author_Institution

Dept. of Electron. & Electr., Commun. Engineeringline, Indian Inst. of Technol., Kharagpur, India

fYear

2011

fDate

3-5 Nov. 2011

Firstpage

1

Lastpage

4

Abstract

In this paper, contrast level of the images are quantified by the two proposed metrics. These metrics are Histogram Flatness Measure (HFM) and Histogram Spread (HS). Computation of these metrics is based on the shape of the histogram. Extensive simulation results reveal that HS is more meaningful than HFM. Low contrast images have low HS value, while high contrast images have higher value of HS. Thus HS metric can be used to distinguish between the images having different contrast level. Accuracy of the metric is also verified for natural and medical images. This metric has broad applications in image retrieval, image database management, visualization, rendering and image classification.

Keywords

image enhancement; HS metric; histogram flatness measure; histogram spread computation; image classification; image contrast performance metrics; image database management; image retrieval; image visualization; medical images; rendering; Biomedical imaging; Computed tomography; Conferences; Histograms; Information processing; Lungs; Measurement; Histogram; histogram equalization; image contrast; image enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Information Processing (ICIIP), 2011 International Conference on

Conference_Location

Himachal Pradesh

Print_ISBN

978-1-61284-859-4

Type

conf

DOI

10.1109/ICIIP.2011.6108900

Filename

6108900