A Novel Finger Vein Image Quality Evaluation Method Based on Triangular Norm

2014 ◽  
Author(s):  
Jialiang Peng ◽  
Qiong Li ◽  
Xiamu Niu
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Triangular Norm ◽  
Image Quality Evaluation ◽  
Finger Vein

Quantitative image quality evaluation method for UDC (Under Display Camera)

2021 ◽  
Keyword(s):  
Image Quality ◽  
International Symposium ◽  
System Performance ◽  
Quality Evaluation ◽  
Fast Track ◽  
Evaluation Method ◽  
Image Quality Evaluation ◽  
Electronic Imaging ◽  
Quantitative Image

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Image Quality and System Performance XVIII proceedings.

Fusion Algorithm of Infrared and TV Image Based on Image Quality Evaluation Method

2014 ◽  
Vol 513-517 ◽  
pp. 570-574
Author(s):  
Bin Zhou ◽  
Xiao Hui Luo
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Infrared Image ◽  
Low Frequency ◽  
Fusion Rule ◽  
Source Image ◽  
Fusion Algorithm ◽  
Information Quantity ◽  
Image Quality Evaluation

The main method of Infrared and TV image fusion is based on image transform and fusion rule selection. The study implies that the information quantity of Infrared and TV image has significant effect on the result of fusion. This paper proposes one fusion algorithm of infrared and TV image based on image quality evaluation method. The basic idea of the algorithm is that the whole image or the image areas which contains better quantity of information play a leading role in the fusion process. Firstly, algorithm performs the global quality evaluation of infrared image and TV image, and then selects the corresponding fusion strategy according to the quantity of information. The source image has been divided into the high frequency coefficients and low-frequency coefficients using wavelet transform. Second, algorithm selects the rule of coefficients fusion based on the relative image quality of local regions of the image. The algorithm of this paper avoids the interference of low quality image, makes full use of the area of higher information content and achieves the favorable consistency of the fused image. Experiments demonstrate the effectiveness of the algorithm.

A Study on the X-Ray Image Quality Evaluation Method Based on Weighted Local Entropy

2011 ◽  
Vol 467-469 ◽  
pp. 462-468
Author(s):  
Qi Zhou Wu ◽  
Jing Zhou ◽  
Bin Liu
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Imaging System ◽  
Detection System ◽  
Local Entropy ◽  
Image Quality Evaluation ◽  
X Ray ◽  
Object Distance ◽  
Imaging Results

In X-ray imaging system, with the change of parameters in material quality, volume, object distance and else of the target objects, manual adjustments of tube voltage and tube current are often needed to get ideal imaging results. Whereas human interventions are often subjective that cannot meet the automation development of X-ray detection system. In view of the above problems, a method for objective quality evaluation in images which is based on weighted local entropy is presented in the paper. Parameters adaptive adjustment in X-ray detection system can be based on this method. The validity of the approach is proved by experiment and comparative analysis with the traditional image quality evaluation function.

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