Rank differences of signals by weighing-selection processing method for implementation of multifunctional image processing processor

2019 ◽  
Author(s):  
Vladimir G. Krasilenko ◽  
Alexander A. Lazarev ◽  
Diana V. Nikitovich
Keyword(s):  
Image Processing ◽  
Processing Method ◽  
Rank Differences

Crosstalk Minimization Method for Eye-tracking-based 3D Display

2020 ◽  
Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Dongkyung Nam
Keyword(s):  
Image Processing ◽  
Eye Tracking ◽  
Three Dimensional ◽  
Processing Method ◽  
Eye Position ◽  
Relative Location ◽  
3D Display ◽  
Minimization Method ◽  
3D Crosstalk ◽  
Pixel Value

In this article, the authors present an image processing method to reduce three-dimensional (3D) crosstalk for eye-tracking-based 3D display. Specifically, they considered 3D pixel crosstalk and offset crosstalk and applied different approaches based on its characteristics. For 3D pixel crosstalk which depends on the viewer’s relative location, they proposed output pixel value weighting scheme based on viewer’s eye position, and for offset crosstalk they subtracted luminance of crosstalk components according to the measured display crosstalk level in advance. By simulations and experiments using the 3D display prototypes, the authors evaluated the effectiveness of proposed method.

scholarly journals Research on Image Processing Method of High Voltage Switchgear Temperature Measurement

2020 ◽  
Vol 440 ◽  
pp. 032111
Author(s):  
Longji Du ◽  
Shi Zhang ◽  
Liming Chen ◽  
Jinglong Ye ◽  
Meiting Ma ◽  
...  
Keyword(s):  
Image Processing ◽  
Temperature Measurement ◽  
High Voltage ◽  
Processing Method ◽  
Image Processing Method

Defect Measurement in Welded Objects by Radiography Testing and Chambolle’s Image Processing Method

2021 ◽  
Vol 40 (2) ◽  
Author(s):  
Amir Movafeghi ◽  
Effat Yahaghi ◽  
Mahdi Mirzapour ◽  
Pouyan ShayganFar
Keyword(s):  
Image Processing ◽  
Processing Method ◽  
Image Processing Method

Image Processing Based on Three-Dimensional Stereo Vision

2014 ◽  
Vol 556-562 ◽  
pp. 5017-5020
Author(s):  
Ting Ting Wang
Keyword(s):  
Image Processing ◽  
Binocular Vision ◽  
Stereo Vision ◽  
Error Rate ◽  
Three Dimensional ◽  
Processing Method ◽  
Stereoscopic Vision ◽  
Average Error ◽  
Traditional Model ◽  
Average Error Rate

Three-dimensional stereo vision technology has the capability of overcoming drawbacks influencing by light, posture and occluder. A novel image processing method is proposed based on three-dimensional stereoscopic vision, which optimizes model on the basis of camera binocular vision and in improvement of adding constraints to traditional model, moreover ensures accuracy of later location and recognition. To verify validity of the proposed method, firstly marking experiments are conducted to achieve fruit location, with the result of average error rate of 0.65%; and then centroid feature experiments are achieved with error from 5.77mm to 68.15mm and reference error rate from 1.44% to 5.68%, average error rate of 3.76% while the distance changes from 300mm to 1200mm. All these data of experiments demonstrate that proposed method meets the requirements of three-dimensional imageprocessing.

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