標(biāo)題: Titlebook: Super Resolution of Images and Video; Aggelos K. Katsaggelos,Rafael Molina,Javier Mateos Book 2007 Springer Nature Switzerland AG 2007 [打印本頁] 作者: 紀(jì)念性 時(shí)間: 2025-3-21 19:38
書目名稱Super Resolution of Images and Video影響因子(影響力)
書目名稱Super Resolution of Images and Video影響因子(影響力)學(xué)科排名
書目名稱Super Resolution of Images and Video網(wǎng)絡(luò)公開度
書目名稱Super Resolution of Images and Video網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Super Resolution of Images and Video被引頻次
書目名稱Super Resolution of Images and Video被引頻次學(xué)科排名
書目名稱Super Resolution of Images and Video年度引用
書目名稱Super Resolution of Images and Video年度引用學(xué)科排名
書目名稱Super Resolution of Images and Video讀者反饋
書目名稱Super Resolution of Images and Video讀者反饋學(xué)科排名
作者: 鉆孔 時(shí)間: 2025-3-21 21:07 作者: 使出神 時(shí)間: 2025-3-22 02:43 作者: 昏暗 時(shí)間: 2025-3-22 08:08 作者: GET 時(shí)間: 2025-3-22 10:54
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateose relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’978-1-4419-4680-5978-0-387-87488-3作者: 縫紉 時(shí)間: 2025-3-22 16:07 作者: Ligneous 時(shí)間: 2025-3-22 18:58
e relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’978-1-4419-4680-5978-0-387-87488-3作者: plasma 時(shí)間: 2025-3-23 00:32 作者: Overstate 時(shí)間: 2025-3-23 02:18
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateoseman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’作者: 慷慨不好 時(shí)間: 2025-3-23 08:22
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateoseman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’作者: Gastric 時(shí)間: 2025-3-23 09:57
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateoseman, Professor Emeritus of Neurobiology at the University of California, Berkeley. We have relied heavily on his work on preafference and attention to guide the development of our robot. In addition, we have used research from a myriad of different ?elds. Our huge thanks to all the researchers who’作者: 東西 時(shí)間: 2025-3-23 14:57
Book 2007play between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video pri作者: 虛弱 時(shí)間: 2025-3-23 22:01 作者: 咯咯笑 時(shí)間: 2025-3-24 00:20
1559-8136 ocess of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral im作者: 不近人情 時(shí)間: 2025-3-24 04:50 作者: BAIL 時(shí)間: 2025-3-24 06:58
Bayesian Inference Models in Super Resolution,tion vector consisting of either the uncompressed LR observations g or both the LR-compressed observations y and the motion vectors v, and ., and . denote the HR image and motion vectors, respectively.作者: 歡呼 時(shí)間: 2025-3-24 11:36
Low-Resolution Image Formation Models, capturing a dynamic scene. As we have already mentioned in the previous chapters, the LR sequence may be compressed. We therefore first describe the case of no compression and then extend the formation models to include compression.作者: 兒童 時(shí)間: 2025-3-24 15:04
Motion Estimation in Super Resolution,estimated. This motion estimation problem corresponds to finding the solution to Eq. (2.4) for the alternate approach and to the motion estimation part of the sequential methodology described in Chapter 2.作者: allergen 時(shí)間: 2025-3-24 19:16 作者: stress-response 時(shí)間: 2025-3-25 02:31 作者: Triglyceride 時(shí)間: 2025-3-25 04:55 作者: STEER 時(shí)間: 2025-3-25 11:19
Estimation of High-Resolution Images,th the use of conditional distributions. That is, we have modeled .(.|., .), where o denotes the observation vector consisting of either the uncompressed LR observations g or both the LR-compressed observations y and the LR motion vectors v (plus possibly additional information provided by the bitst作者: 嘲笑 時(shí)間: 2025-3-25 15:35 作者: 任意 時(shí)間: 2025-3-25 19:35 作者: Dedication 時(shí)間: 2025-3-25 21:58 作者: 不可磨滅 時(shí)間: 2025-3-26 03:03 作者: vibrant 時(shí)間: 2025-3-26 04:57 作者: 里程碑 時(shí)間: 2025-3-26 11:50 作者: malign 時(shí)間: 2025-3-26 14:17 作者: critique 時(shí)間: 2025-3-26 17:24
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateosion engines utilize the concept of a rough ontology for knowThis work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book作者: 豪華 時(shí)間: 2025-3-26 21:19 作者: 猛然一拉 時(shí)間: 2025-3-27 04:27 作者: 綁架 時(shí)間: 2025-3-27 06:33
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateos they?” Little did we know what a long path was started with those simple words. This book is a small step on that path, which we hope leads to robots that can serve as true and useful assistants to humans. At the least, we hope for some help with the tasks that are described by the 3 d**** words (d作者: 公豬 時(shí)間: 2025-3-27 13:28 作者: irreducible 時(shí)間: 2025-3-27 16:33 作者: 笨拙的我 時(shí)間: 2025-3-27 18:16
Aggelos K. Katsaggelos,Rafael Molina,Javier Mateosion engines utilize the concept of a rough ontology for knowThis work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book作者: 惡意 時(shí)間: 2025-3-27 23:15
ion engines utilize the concept of a rough ontology for knowThis work was created from the statement “But, all you have to do is make the robot recognize its surroundings. Salamanders do it, and how complex are they?” Little did we know what a long path was started with those simple words. This book作者: 公豬 時(shí)間: 2025-3-28 03:22 作者: ineluctable 時(shí)間: 2025-3-28 10:04
1876-1100 .Serves as a reference guide for researchers and practitione.This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on?Computing and Network Communications (CoCoNet‘20), October 14–17, 2020, Chennai, India. The papers?presented were carefully re作者: glans-penis 時(shí)間: 2025-3-28 10:59
