Results 91 to 100 of about 303 (154)
Image Enhancement Using Depth Maps
, 2017 The thesis is dealing with methods for enhance photography captured in nature usingsynthetic depth map. Depth map is obtained from digital terrain model with precision inthe order of meters. Using depth map we can eliminate undesirable effects of weather
Krbec, Jakub
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Masked frequency-color fusion network for video instance-level hazy lane detection
Existing video instance-level lane detection (ILD) methods often assume that the input videos are clear. However, videos captured in hazy weather conditions are inevitably corrupted by the haze, thereby degrading the video instance-level lane detection ...
Zhu, Lei +3 more
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, 2015 There exist today plenty of algorithms and many papers about dehazing or defogging, that is enhancing images taken in hazy or foggy conditions. To our knowledge none of them has got a signifcant result for dense and non-dense haze image at the same time.
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WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning
Images captured in hazy outdoor conditions often suffer from colour distortion, low contrast, and loss of detail, which impair high-level vision tasks. Single image dehazing is essential for applications such as autonomous driving and surveillance, with ...
Kasule, Abdul Nasser +3 more
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Peranan Color Grading dalam Menekankan Mood Bittersweet pada Pilot Series "Jakartans Need Coffee" [PDF]
Penulisan ini membahas penerapan teknik color grading dalam membangun mood bittersweet pada pilot series Jakartans Need Coffee. Sebagai colorist, penulis bertanggung jawab untuk mengolah visual untuk mendukung cerita dengan membangun mood tertentu.
Hans Dominggo Poniman, Alfred
core
Enhanced CycleGAN Dehazing Network
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021 Zahra Anvari, Vassilis Athitsos
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Haze removal from an image or a video via generative adversarial networks
Low visibility caused by haze and fog is one of the major reasons for traffic and aviation accidents. This paper introduces a more easy-to-access solution to remove haze from a single image, video, and live-streaming.
Chen, Zhong Jiang
core
Dehazer: Real-Time Image Dehazing with Human Detection
Tanniru Anusha +4 more
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