MILK
发表于 2025-3-30 10:01:09
Decimation Estimation and Super-Resolution Using Zoomed Observationsnique. The novelty of our approach is that the decimation (aliasing) matrix is obtained from the given observations themselves. Results are illustrated with real data captured using a zoom camera. Application of our technique to multiresolution fusion in remotely sensed images is shown.
inculpate
发表于 2025-3-30 14:08:18
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ciliary-body
发表于 2025-3-30 20:00:28
https://doi.org/10.1007/11949619Resolution; Stereo; biometrics; classification; computer vision; filtering; image processing; visualization
pineal-gland
发表于 2025-3-30 22:38:41
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训诫
发表于 2025-3-31 03:50:31
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234304.jpg
试验
发表于 2025-3-31 08:12:42
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钱财
发表于 2025-3-31 09:36:55
: Jeremy Collier and his Antagonists,part, to the liberal use of dodging and burning in photography. Measurements which are invariant to these transformations can be used to extract information from photographs which is not sensitive to certain alterations in the development process. These measurements are explored through the construc
值得
发表于 2025-3-31 13:41:20
Perspectives: CEB New Drug Discovery,ithm uses the information available from multiple, sub-pixel shifted, and noisy low-resolution observations to reconstruct a high-resolution image of the number plate. The image to be super-resolved is modeled as a Markov random field and is estimated from the low-resolution observations by a gradua
责怪
发表于 2025-3-31 18:36:10
Introduction: Calcium Entry Blockers (CEBs),iciency to implicit algorithms. Conventional explicit algorithms often require hundreds of iterations to converge. In order to overcome the difficulty and to further improve image quality, the article introduces new spatially variable constraint term and timestep size, as a method of nonflat time ev
GUMP
发表于 2025-4-1 01:18:26
https://doi.org/10.1007/978-3-030-12752-7esolved image of the entire scene (least zoomed) is obtained at the resolution of the most zoomed one. We model the super-resolution image as a Markov Random Field (MRF). The cost function is derived using a Maximum a posteriori (MAP) estimation method and is optimized by using gradient descent tech