Difference between revisions of "Publications/esteban.19.seminar"
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(Created page with "{{CSIReport | authors = Baptiste Esteban | title = Estimation of the noise level function in natural images using the tree of shapes | year = 2019 | number = 1912 | abstract =...") |
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| year = 2019 |
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− | | abstract = Nowadays, a lot of applications need to know the noise level in an image. A method had already been developped to know the noise level function in an image using the detection of homogeneous blocks and has been extended to the detection of homogeneous shapes, using the tree of shapes, which |
+ | | abstract = Nowadays, a lot of applications need to know the noise level in an image. A method had already been developped to know the noise level function in an image using the detection of homogeneous blocks and has been extended to the detection of homogeneous shapes, using the tree of shapes, which fits better the image content. However, this method is limited to grayscale images. So we aim to extend this estimation to color images, the pixels being multivariate. |
| type = techreport |
| type = techreport |
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| id = esteban.19.seminar |
| id = esteban.19.seminar |
Latest revision as of 12:59, 6 August 2019
- Authors
- Baptiste Esteban
- Type
- techreport
- Year
- 2019
- Number
- 1912
Abstract
Nowadays, a lot of applications need to know the noise level in an image. A method had already been developped to know the noise level function in an image using the detection of homogeneous blocks and has been extended to the detection of homogeneous shapes, using the tree of shapes, which fits better the image content. However, this method is limited to grayscale images. So we aim to extend this estimation to color images, the pixels being multivariate.