外星人
发表于 2025-3-25 04:36:15
Compact Single Image Dehazing Network,mages produced by CSIDNet successfully strike a balance between speed and accuracy. The chapter presents the results of CSIDNet highlighting the potential application of CSIDNet in critical and real-time scenarios.
Alpha-Cells
发表于 2025-3-25 11:14:08
Adaptive Interval Type-2 Fuzzy Filter,l role in preserving naturalness by addressing uncertainties arising from grayness ambiguities in homogeneous regions and spatial ambiguities at edges. This chapter also delves into various applications to showcase the efficacy of the filter.
铁砧
发表于 2025-3-25 12:16:49
Book 2024he various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters..
BOOST
发表于 2025-3-25 17:15:52
Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement978-981-97-2011-8Series ISSN 2524-7565 Series E-ISSN 2524-7573
heterogeneous
发表于 2025-3-25 22:43:06
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排名真古怪
发表于 2025-3-26 00:32:10
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红肿
发表于 2025-3-26 05:23:53
Special Transfusion Situations, detailed exploration of the . as an effective solution for enhancing outdoor scenes through deep learning-based single image dehazing. CSIDNet outperforms various state-of-the-art dehazing models and also establishes itself as a compact model with minimal resource requirements. The enhanced scene i
Expostulate
发表于 2025-3-26 12:04:31
Handbook of Blood and Blood Productsth a focus on applications in multi-media. The presented approach involves estimating scene transmission through a .-score based weighting function and utilizing global atmospheric light for image dehazing. In contrast, the method equalizes the illumination channel by employing the .-score weighting
Colonoscopy
发表于 2025-3-26 15:40:27
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卡死偷电
发表于 2025-3-26 17:37:06
Handbook of Blood and Blood Productsnts for the preservation of naturalness in non-uniformly illuminated images. The filter estimates the coarse illumination within the input image, and subsequently, undergoes further processing to obtain the reflectance and refined coarse illumination. The estimated coarse illumination plays a pivota