Quantitative atmospheric rendering for real-time infrared scene simulation

Wu, X.; Zhang, Chi; Huang, M.; Chen, Yang; Ding, Guopeng

doi:10.1016/j.infrared.2020.103610

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…Combined with the preprocessing results of artistic visual image and Cartesian genetic programming algorithm, the effective processing of image is realized. In order to further improve the display effect of image, the image visual effect is rendered [27][28][29]. After the construction of Cartesian genetic programming algorithm, an image rendering platform is designed according to the actual needs to render the visual effect of artistic visual images.…”

Section: Visual Effect Renderingmentioning

confidence: 99%

Art Visual Image Transmission Method Based on Cartesian Genetic Programming

Zhao

2021

Scientific Programming

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Because most of the traditional artistic visual image communication methods use the form of modeling and calculation, there are some problems such as long image processing time, low success rate of image visual communication, and poor visual effect. An artistic visual image communication method based on Cartesian genetic programming is proposed. The visual expression sensitivity difference method is introduced to process the image data, the neural network is used to identify the characteristics of the artistic visual image, the midpoint displacement method is used to remove the folds of the artistic visual image, and the processed image is formed under the above three links. The Cartesian genetic programming algorithm is used to encode the preprocessed image, improve the fitness function, select the algorithm to improve the operation, design the image rendering platform, input the processed image to the platform, and complete the artistic visual image transmission. The analysis of the experimental results shows that the image processing time of this method is short, the success rate of visual communication is high, and the image visual effect is good, which can obtain the image processing results satisfactory to users.

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Section: Visual Effect Renderingmentioning

confidence: 99%

Art Visual Image Transmission Method Based on Cartesian Genetic Programming

Zhao

2021

Scientific Programming

View full text Add to dashboard Cite

show abstract

Quantitative atmospheric rendering for real-time infrared scene simulation

Cited by 1 publication

References 18 publications

Art Visual Image Transmission Method Based on Cartesian Genetic Programming

Art Visual Image Transmission Method Based on Cartesian Genetic Programming

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