Invention Grant
- Patent Title: Learning-based framework for personalized image quality evaluation and optimization
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Application No.: US14881599Application Date: 2015-10-13
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Publication No.: US09916525B2Publication Date: 2018-03-13
- Inventor: Boris Mailhe , Mariappan S. Nadar
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/66 ; G06T5/00 ; G06K9/03 ; G06T7/00

Abstract:
A computer-implemented method for providing image quality optimization individualized for a user includes a computer receiving raw image data acquired from an image scanner and identifying one or more raw image quality features based on the raw image data. The computer automatically determines one or more target image quality features by applying one or more user preferences to the one or more raw image quality features. The computer also automatically determines one or more processing parameters based on the one or more target image quality features. The computer may then process the raw image data using the one or more processing parameters to yield an image.
Public/Granted literature
- US20170103512A1 LEARNING-BASED FRAMEWORK FOR PERSONALIZED IMAGE QUALITY EVALUATION AND OPTIMIZATION Public/Granted day:2017-04-13
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