the visibility of scene is much important in applications of Intelligent Video surveillance systems, Autonomous Vehicle Navigation. the presence of haze limits the visibility, thereby hindering the proper operation of...
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thresholding is the most widely used change detection technique for identifying the changes in remote sensing images. However, most of the thresholding methods would generate isolated spots in the final change map, wh...
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By the detection of human body movements in fitness exercise, the normative correction of human body movements in fitness exercise is carried out. Aiming at the problem that the current empirical analysis method is no...
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Video generation task is a challenging problem which involves the modelling of complex real-world dynamics. Most of the existing methods have designed deep networks to tackle high-dimensional video data distributions....
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the vision Transformer (ViT) [6] directly applies a Transformer architecture to image classification and achieves an impressive result compared with convolutional networks. this paper presents a new ViT-base camouflag...
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the prime goal of digital imaging techniques is to reproduce the realistic appearance of a scene. Low Dynamic Range (LDR) cameras are incapable of representing the wide dynamic range of the real-world scene. the captu...
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Feature Extraction is a long active topic in imageprocessing, and it attracts lots of attention over the last five decades due to its uses in real-life applications. Edge detection method allows users to discover the...
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Most of the oilfields in China have entered the stage of high water cut nowadays, and it is very difficult to enhance oil recovery in these oilfields. In this paper, combined withthe imageprocessing technology, the ...
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Most of the oilfields in China have entered the stage of high water cut nowadays, and it is very difficult to enhance oil recovery in these oilfields. In this paper, combined withthe imageprocessing technology, the visualization technology of 3D data field and the seepage mechanics theory, a simulation model on microscopic remaining oil distribution has been constructed. After that, the remaining oil distribution of a high water cut oilfield in south China in three different microscopic pore throat networks, namely big pore and coarse throat, medium pore and medium throat and small pore and fine throat, was simulated. through the simulation results, the conclusions are drawn: compared withthe small pore and fine throat network, the development resistance of oil in the big pore and coarse throat network and the medium pore and medium throat network is smaller under the same water-flooding development conditions;compared withthe big pore and coarse throat network, the development resistance of oil in the medium pore and medium throat network is larger, which leads to more remaining oil left. the simulation on microscopic remaining oil distribution is of great significance for enhancing oil recovery in high water cut oilfields of China.
Artistic style transfer has become a heated field for machine learning research, where many methods exist to solve the problem. However, transferring a picture into another style is still a complicated image processin...
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ISBN:
(纸本)9781450397148
Artistic style transfer has become a heated field for machine learning research, where many methods exist to solve the problem. However, transferring a picture into another style is still a complicated imageprocessing task. Each method has its advantages and disadvantages. Laplacian Pyramid Network (Lapstyle), is a novel feed-forward method that could provide artistic style transfer with high efficiency. In this paper, several of Van Gogh's paintings and various pictures are set as style images and content images, including portraits, scenery, and so on, to look at their performance in different situations. the result is that Lapstyle performs well when the style image is a distant view with simple color. At the same time, the stylized picture is awful when the style image is a portrait. Even though the style is paintings of the same artist, the performance varies significantly. In conclusion, the style image for Lapstyle is paintings with simple colors and few details, and portraits are unsuitable.
image enhancement is vital in computervision and imageprocessing applications. this study introduces an innovative approach combining HSV color space, Discrete Wavelet Transforms (DWT), and Bi Histogram Equalization...
image enhancement is vital in computervision and imageprocessing applications. this study introduces an innovative approach combining HSV color space, Discrete Wavelet Transforms (DWT), and Bi Histogram Equalization (BiHE) techniques. By converting the image from RGB to HSV, we separate color and intensity information, allowing us to enhance the intensity component for improved visual quality. the DWT is then applied to decompose the image into frequency sub bands, enabling targeted manipulation of specific frequency components to enhance image details and overall appearance. Additionally, the BiHE technique enhances contrast while preserving local image details. the proposed method was evaluated on various images, including tissue, football, Lena, and yellow lily. the results show that the proposed method achieved high Peak Signal-to-Noise Ratio (PSNR) values, with tissue achieving 32.1853 dB, football achieving 30.5452 dB, Lena achieving 27.1462 dB, and yellow lily achieving 25.2015 dB. the Mean Squared Error (MSE) values were also low, with tissue having an MSE of 0.0006, football having an MSE of 0.0009, Lena having an MSE of 0.0022, and yellow lily having an MSE of 0.0031. these results demonstrate the effectiveness of the proposed method in enhancing the visual quality, details, and contrast of the images while maintaining naturalness and avoiding artifacts. Experimental results demonstrate that our method outperforms traditional techniques, significantly enhancing visual quality, details, and contrast while maintaining naturalness and avoiding artifacts.
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