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Visual guided AI color art image generation using enhanced GAN [PDF]
With the improvement of material living standards, the application of Artificial Intelligence technology for generating color art images effectively meets the growing spiritual needs of people. However, traditional manual drawing methods rely on artistic
Zhuojin Wu
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This study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations.
Yucheng Li +4 more
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Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image.
Surinder Kaur +7 more
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SOM-based similarity index measure: quantifying interactions between multivariate structures [PDF]
This work addresses the issue of quantifying asymmetric functional relationships between signals. We specifically consider a previously proposed similarity index that is conceptually powerful, yet computationally very expensive. The complexity increases with the square of the number of samples in the signals. In order to counter this difficulty, a self-
A. Hegde +4 more
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Synthetic Infra-Red Image Evaluation Methods by Structural Similarity Index Measures
For synthetic infra-red (IR) image generation, a new approach using CycleGAN based on the structural similarity index measure (SSIM) is addressed. In this study, how window sizes and weight parameters of SSIM would affect the synthetic IR image constructed by CycleGAN is analyzed.
Sky H. Lee, Henzeh Leeghim
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SPAM (Smart Patient Monitoring System) using Structural Similarity Index Measurement
Abstract. The number of patients in Hospital during pandemic covid-19 has increasing significantly which cause do not get the optimal service because limitation of human resource. Furthermore, they need tools to detect human in patient’s room and monitor the movement of people. IoT capable to control the room properly.
Aisyatul Karima +6 more
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Optimal structural similarity constraint for reversible data hiding
Most reversible data hiding (RDH) techniques have been evaluated by PSNR,which is based on MSE.Unfortunately,MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidel-ity or quality.The structural similarity ...
Jia-jia XU +4 more
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Efficient Reconstruction of Low Photon Count Images from a High Speed Camera
Challenging imaging applications requiring ultra-short exposure times or imaging in photon-starved environments can acquire extremely low numbers of photons per pixel, (1 MHz) and low incident photon flux (
Graeme E. Johnstone +3 more
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Multiple Inverted Array Index Structure for Asymmetric Similarity Measure [PDF]
Due to the growing volume of digital image data in recent years, the demand and necessity for a system that can manage large image sets are rising. It is vital to create sophisticated retrieval functions in order to enhance the user's convenience.
Noburou Taniguchi +2 more
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FenceTalk: Exploring False Negatives in Moving Object Detection
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in ...
Yun-Wei Lin +3 more
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