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Ting-Hui Chiang, Meng-Hsiu Chiang, Ming-Han Tsai and Che-Cheng Chang
While many monocular depth estimation methods have been proposed, determining depth variations in outdoor scenes remains challenging. Accordingly, this paper proposes an image segmentation-based monocular depth estimation model with attention mechanisms ...
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Xinxin Pan, Changli Li, Zhigeng Pan, Jingwen Yan, Shiqiang Tang and Xinghui Yin
Recently, low-light image enhancement has attracted much attention. However, some problems still exist. For instance, sometimes dark regions are not fully improved, but bright regions near the light source or auxiliary light source are overexposed. To ad...
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Dong-Min Son, Hyuk-Ju Kwon and Sung-Hak Lee
This study proposes a method of blending visible and near-infrared (NIR) images to enhance their edge details and local contrast based on the Laplacian pyramid and principal component analysis (PCA). In the proposed method, both the Laplacian pyramid and...
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Jerry Gibson and Hoontaek Oh
Gaussian and Laplacian pyramids have long been important for image analysis and compression. More recently, multiresolution pyramids have become an important component of machine learning and deep learning for image analysis and image recognition. Constr...
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Yan Liu, Bingxue Lv, Wei Huang, Baohua Jin and Canlin Li
Camera shaking and object movement can cause the output images to suffer from blurring, noise, and other artifacts, leading to poor image quality and low dynamic range. Raw images contain minimally processed data from the image sensor compared with JPEG ...
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Aiazzi, B; Alparone, L; Baronti, S; Lotti, F
Pág. 831 - 843
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