Plateau equalization algorithm for real‐time display of high‐quality infrared imagery

Vickers, Virgil E.

doi:10.1117/1.601006

Cited by 127 publications

(61 citation statements)

References 3 publications

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“…Based on past research on the display of infrared imagery [11], which treats mapping from high dynamic range histograms (the ''raw'' histogram) to 8-bit histograms (the display histogram), we introduced a nonlinear mapping, histogram projection (HP), which treats each occupied level of the raw histogram equally. This was in contrast to the standard technique of histogram equalization (HE) which allots integer range in the display histogram in proportion to histogram height in the raw histogram.…”

Section: Entropy-guided Mappingsmentioning

confidence: 99%

Segmentation of multi-dimensional infrared imagery from histograms

Silverman

Rotman

Caefer

2004

Infrared Physics & Technology

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Section: Entropy-guided Mappingsmentioning

confidence: 99%

Segmentation of multi-dimensional infrared imagery from histograms

Silverman

Rotman

Caefer

2004

Infrared Physics & Technology

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“…Restoration based on physical model needs to have depth of field information of the required image which is still a bit difficult to obtain in reality [3][4] . Virgil E. Vickers [5] proposed platform An HD (High-Definition) Image Enhancement Algorithm for Power Line Inspection and FPGA Realization histogram equalization algorithm which can have certain effect on avoiding image over enhancement. Bingjian Wang [6] proposed a self-adaptive enhancement algorithm based on platform histogram.…”

Section: Introductionmentioning

confidence: 99%

An HD (High-Definition) Image Enhancement Algorithm for Power Line Inspection and FPGA Realization

Li¹,

Ren²,

Wang³

et al. 2017

dtetr

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During power line inspection, images captured by photo-electronic imaging equipment are usually low in contrast ratio and unobvious in image details due to influence from environmental factors, such as illumination, fog, and haze, making it more difficult to find defects in power transmission line by manpower or computer. A histogram equalization image enhancement algorithm based on logarithmic transformation is proposed to solve this problem. Firstly, transform images into log-domain and apply low-pass filter to divide images into basal images with low frequency and detailed images with high frequency. Secondly, conduct histogram equalization on basal images and do linear pull-up on detailed images. Lastly, weigh the transformed basal images and detailed images, so as to obtain the reconstructed and enhanced images. The process to realize this algorithm on FPGA is given based on the above description. Experiment results showed this algorithm enhanced local detail information of the images and improved their overall contrast ratio. Besides, it also satisfied the 30f/s real-time requirement of 1080p HD image.

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“…But histogram equalization algorithm is not applicable to many infrared images, because the algorithm often mainly enhances image background instead of targets [2]. In an effort to overcome this problem, Virgil E. Vichers and Silverman, proposed two new histogram-based algorithms: plateau histogram equalization [3] and histogram projection [4,5], respectively. Plateau histogram equalization has been proven to be more effective, which suppresses the enhancement of background by using a plateau threshold value.…”

Section: Introductionmentioning

confidence: 99%