Inverse tone mapping method역 톤 매핑 방법

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The present invention provides a technology that separates a low-contrast-ratio image into sublayer images, classifies each sublayer image into several categories in accordance with the characteristics of each sublayer image, and learns a transformation matrix representing a relationship between the low-contrast-ratio image and a high-contrast-ratio image for each category. In addition, the present invention provides a technology that separates an input low-contrast-ratio image into sublayer images, selects a category corresponding to each sublayer image, and applies a learned transformation matrix to generate a high.
Assignee
KAIST, SILICON WORKS CO LTD
Country
US (United States)
Application Date
2017-06-27
Application Number
15633763
Registration Date
2020-05-26
Registration Number
10664961
URI
http://hdl.handle.net/10203/275208
Appears in Collection
EE-Patent(특허)
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