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pro vyhledávání: '"Inverse tone mapping"'
Autor:
Goswami, Abhishek, Singh, Aru Ranjan, Banterle, Francesco, Debattista, Kurt, Bashford-Rogers, Thomas
The range of real-world scene luminance is larger than the capture capability of many digital camera sensors which leads to details being lost in captured images, most typically in bright regions. Inverse tone mapping attempts to boost these captured
Externí odkaz:
http://arxiv.org/abs/2405.15468
ITM(inverse tone-mapping) converts SDR (standard dynamic range) footage to HDR/WCG (high dynamic range /wide color gamut) for media production. It happens not only when remastering legacy SDR footage in front-end content provider, but also adapting o
Externí odkaz:
http://arxiv.org/abs/2309.17160
Akademický článek
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Akademický článek
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The display devices like HDR10 televisions are increasingly prevalent in our daily life for visualizing high dynamic range (HDR) images. But the majority of media images on the internet remain in 8-bit standard dynamic range (SDR) format. Therefore,
Externí odkaz:
http://arxiv.org/abs/2307.03998
Many image enhancement or editing operations, such as forward and inverse tone mapping or color grading, do not have a unique solution, but instead a range of solutions, each representing a different style. Despite this, existing learning-based metho
Externí odkaz:
http://arxiv.org/abs/2209.15165
Joint super-resolution and inverse tone-mapping (SR-ITM) aims to enhance the visual quality of videos that have quality deficiencies in resolution and dynamic range. This problem arises when using 4K high dynamic range (HDR) TVs to watch a low-resolu
Externí odkaz:
http://arxiv.org/abs/2208.06885
Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images. Recent networks mainly resort to image decomposition techniques with complex multi-b
Externí odkaz:
http://arxiv.org/abs/2207.03367
Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) image, namely inverse tone mapping (ITM), is challenging due to the lack of information in over- and under-exposed regions. Current methods focus exclusively on trainin
Externí odkaz:
http://arxiv.org/abs/2203.06504
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1444-1454 (2023)
Abstract Inverse tone mapping technique is widely used to restore the lost textures from a single low dynamic range image. Recently, many stack‐based deep inverse tone mapping networks have achieved impressive results by estimating a set of multi
Externí odkaz:
https://doaj.org/article/eb8acf66f8314a6cab1897c19761173a