View source for 18511462. SYSTEMS AND METHODS REGION-OF-INTEREST AUTOMATIC GAIN OR EXPOSURE CONTROL simplified abstract (QUALCOMM Incorporated)

=SYSTEMS AND METHODS REGION-OF-INTEREST AUTOMATIC GAIN OR EXPOSURE CONTROL=


==Organization Name==

[[:Category:QUALCOMM Incorporated|QUALCOMM Incorporated]]


[[Category:QUALCOMM Incorporated]]

==Inventor(s)==

[[:Category:Edwin Chongwoo Park of San Diego CA (US)|Edwin Chongwoo Park of San Diego CA (US)]][[Category:Edwin Chongwoo Park of San Diego CA (US)]]

[[:Category:Soman Ganesh Nikhara of Hyderabad (IN)|Soman Ganesh Nikhara of Hyderabad (IN)]][[Category:Soman Ganesh Nikhara of Hyderabad (IN)]]

[[:Category:Bapineedu Chowdary Gummadi of Hyderabad (IN)|Bapineedu Chowdary Gummadi of Hyderabad (IN)]][[Category:Bapineedu Chowdary Gummadi of Hyderabad (IN)]]

[[:Category:Pradeep Veeramalla of Hyderabad (IN)|Pradeep Veeramalla of Hyderabad (IN)]][[Category:Pradeep Veeramalla of Hyderabad (IN)]]

[[:Category:Ravi Shankar Kadambala of Hyderabad (IN)|Ravi Shankar Kadambala of Hyderabad (IN)]][[Category:Ravi Shankar Kadambala of Hyderabad (IN)]]

==SYSTEMS AND METHODS REGION-OF-INTEREST AUTOMATIC GAIN OR EXPOSURE CONTROL - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18511462 titled 'SYSTEMS AND METHODS REGION-OF-INTEREST AUTOMATIC GAIN OR EXPOSURE CONTROL

==Simplified Explanation==

The patent application is for a method of automatic gain or exposure control for a region-of-interest (ROI) in images captured by an image sensor.

* Receiving a first image with a first field of view (FOV) and a second image with a second FOV from the image sensor.
* Determining an ROI in the second image, which is a subset of pixels.
* Calculating an ROI weight for the ROI in the second image.
* Determining statistics based on the pixels in the first image, the subset of pixels in the second image, and the ROI weight.
* Adjusting the gain or exposure setting for the image sensor based on the statistics.

== Potential Applications ==
* Medical imaging
* Surveillance systems
* Automotive cameras

== Problems Solved ==
* Ensures optimal exposure for specific regions in an image
* Improves image quality in critical areas
* Reduces the need for manual adjustments

== Benefits ==
* Enhanced image quality
* Increased accuracy in specific areas of interest
* Automation of exposure control for improved efficiency


==Original Abstract Submitted==

Methods, systems, computer-readable media, and apparatuses for region-of-interest (ROI) automatic gain or exposure control are presented. In one example, a method includes receiving a first image from an image sensor captured with a first field of view (FOV) and comprising a first plurality of pixels, receiving a second image from the image sensor captured with a second FOV and comprising a second plurality of pixels, determining an ROI in the second image, the ROI comprising a subset of the second plurality of pixels in the second image, determining an ROI weight for the ROI in the second image, determining statistics based on the first plurality of pixels in the first image, the subset of the second plurality of pixels in the second image, and the ROI weight for the ROI in the second image, and adjusting a gain or exposure setting for the image sensor based on the statistics.



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