Neuromorphic infrared focal plane performs sensor fusion on-plane local-contrast-enhancement spatial and temporal filtering

1993 ◽  
Author(s):  
Mark A. Massie ◽  
James T. Woolaway II ◽  
Jon P. Curzan ◽  
Paul L. McCarley
Keyword(s):  
Contrast Enhancement ◽  
Sensor Fusion ◽  
Focal Plane ◽  
Local Contrast ◽  
Temporal Filtering ◽  
Local Contrast Enhancement

Neuromorphic infrared focal plane performs on-plane local contrast enhancement, spatial, and temporal filtering

1993 ◽  
Author(s):  
Mark A. Massie ◽  
James T. Woolaway II ◽  
Buu L. Huynh ◽  
Greg A. Johnson ◽  
Jon P. Curzan
Keyword(s):  
Contrast Enhancement ◽  
Focal Plane ◽  
Local Contrast ◽  
Temporal Filtering ◽  
Local Contrast Enhancement

scholarly journals Clinical evaluation of ‘local contrast enhancement’ for oral fluorescein angiograms

Eye ◽  
2000 ◽  
Vol 14 (3) ◽  
pp. 318-318 ◽  
Author(s):  
Richard S B Newsom ◽  
Chanjira Sinthanayothin ◽  
James Boyce ◽  
Anthony G Casswell ◽  
Tom H Williamson
Keyword(s):  
Contrast Enhancement ◽  
Clinical Evaluation ◽  
Local Contrast ◽  
Local Contrast Enhancement

scholarly journals Adaptive Contrast Enhancement for Infrared Images Based on the Neighborhood Conditional Histogram

2019 ◽  
Vol 11 (11) ◽  
pp. 1381 ◽  
Author(s):  
Chengwei Liu ◽  
Xiubao Sui ◽  
Xiaodong Kuang ◽  
Yuan Liu ◽  
Guohua Gu ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Noise Suppression ◽  
Mapping Function ◽  
Visual Quality ◽  
Histogram Equalization ◽  
The Other ◽  
Local Contrast ◽  
Infrared Images ◽  
Local Contrast Enhancement ◽  
Block Based

In this paper, an adaptive contrast enhancement method based on the neighborhood conditional histogram is proposed to improve the visual quality of thermal infrared images. Existing block-based local contrast enhancement methods usually suffer from the over-enhancement of smooth regions or the loss of some details. To address these drawbacks, we first introduce a neighborhood conditional histogram to adaptively enhance the contrast and avoid the over-enhancement caused by the original histogram. Then the clip-redistributed histogram of the contrast-limited adaptive histogram equalization (CLAHE) is replaced by the neighborhood conditional histogram. In addition, the local mapping function of each sub-block is updated based on the global mapping function to further eliminate the block artifacts. Lastly, the optimized local contrast enhancement process, which combines both global and local enhanced results is employed to obtain the desired enhanced result. Experiments are conducted to evaluate the performance of the proposed method and the other five methods are introduced as a comparison. Qualitative and quantitative evaluation results demonstrate that the proposed method outperforms the other block-based methods on local contrast enhancement, visual quality improvement, and noise suppression.

Parametric-oriented fitting for local contrast enhancement

2016 ◽  
Vol 370-371 ◽  
pp. 323-342 ◽  
Author(s):  
Yun-Fu Liu ◽  
Jing-Ming Guo ◽  
Bo-Syun Lai
Keyword(s):  
Contrast Enhancement ◽  
Local Contrast ◽  
Local Contrast Enhancement
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