IMAGE PROCESSING BASED ON OBJECT CATEGORIZATION

Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification e...

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Bibliographic Details
Main Authors SCHARAM, Eran, PINHASOV, Eran, GUREVICH, Anatoly, CHENG, Scott
Format Patent
LanguageEnglish
French
German
Published 28.06.2023
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.
Bibliography:Application Number: EP20210752834