Applied Materials has patented a method for enhancing camera image quality when link rate is insufficient. The method involves predicting buffer status based on sensor readout rate and link rate, adjusting image processing accordingly. This innovation aims to optimize image quality in challenging transmission conditions. GlobalData’s report on Applied Materials gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Applied Materials, 3D memory devices was a key innovation area identified from patents. Applied Materials's grant share as of February 2024 was 49%. Grant share is based on the ratio of number of grants to total number of patents.

Camera image quality improvement method with buffer status prediction

Source: United States Patent and Trademark Office (USPTO). Credit: Applied Materials Inc

A recently granted patent (Publication Number: US11930272B2) discloses a method and camera system for controlling a camera's image processing capabilities. The method involves predicting the status of a buffer based on the imaging sensor's readout rate and the transmission path's link rate, generating status prediction information, and adjusting the image processing content accordingly. Specifically, when the buffer is predicted to overflow, the method elongates the image processing time and reduces the buffer's input rate to prevent overflow.

Furthermore, the patent details the use of three-dimensional digital noise reduction as the image processing technique, where pixel values from multiple input video frames are multiplied by corresponding coefficients to reduce noise components. The adjustment step in this process involves modifying the number of input video frames used to obtain one output and adjusting the buffer's input rate. The camera system described in the patent includes components such as an imaging sensor, signal processing unit, buffer, format conversion unit, and a status prediction unit to facilitate the adjustment of image processing based on the buffer's status prediction information. In cases where buffer overflow is predicted, the system elongates the image processing time and lowers the buffer's input rate to prevent overflow and ensure efficient image processing.

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