| Adaptive image contrast enhancement based on human visual properties. | |
| | |
MedLine Citation:
|
PMID: 18218535 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
Existing methods for image contrast enhancement focus mainly on the properties of the image to be processed while excluding any consideration of the observer characteristics. In several applications, particularly in the medical imaging area, effective contrast enhancement for diagnostic purposes can be achieved by including certain basic human visual properties. Here the authors present a novel adaptive algorithm that tailors the required amount of contrast enhancement based on the local contrast of the image and the observer's Just-Noticeable-Difference (JND). This algorithm always produces adequate contrast in the output image, and results in almost no ringing artifacts even around sharp transition regions, which is often seen in images processed by conventional contrast enhancement techniques. By separating smooth and detail areas of an image and considering the dependence of noise visibility on the spatial activity of the image, the algorithm treats them differently and thus avoids excessive enhancement of noise, which is another common problem for many existing contrast enhancement techniques. The present JND-Guided Adaptive Contrast Enhancement (JGACE) technique is very general and can be applied to a variety of images. In particular, it offers considerable benefits in digital radiography applications where the objective is to increase the diagnostic utility of images. A detailed performance evaluation together with a comparison with the existing techniques is given to demonstrate the strong features of JGACE. |
| | |
Authors:
|
T L Ji; M K Sundareshan; H Roehrig |
Related Documents
:
|
15876665 - Image reconstruction for the circle-and-arc trajectory. 18457985 - Multiple object tracking in molecular bioimaging by rao-blackwellized marginal particle... 18185795 - Improvements in the discrete-dipole approximation method of computing scattering and ab... 18978865 - Maximum entropy method for diffractive imaging. 17281775 - A new hybridized rigid-elastic multiresolution algorithm for medical image registration. 19858475 - Interdependence of movement and anatomy persists when amputees learn a physiologically ... |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: IEEE transactions on medical imaging Volume: 13 ISSN: 0278-0062 ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 1994 |
Date Detail:
|
Created Date: 2008-01-25 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
|
Languages: eng Pagination: 573-86 Citation Subset: - |
Affiliation:
|
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: A note on stopping rules in EM-ML reconstructions of ECT images.
Next Document: A three dimensional analysis of slotted tube resonator for MRI.