Teledyne Technologies has patented a method to enhance contrast between gas and scene features in images. By selecting specific pixels, scaling the image frame, and displaying the adjusted image, the technique effectively highlights gas features. GlobalData’s report on Teledyne Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Teledyne Technologies, Photovoltaic drones was a key innovation area identified from patents. Teledyne Technologies's grant share as of January 2024 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Increasing contrast between gas and scene features in images
A recently granted patent (Publication Number: US11885740B2) discloses a method and system for enhancing the contrast between gas and scene features in captured image frames. The method involves receiving an image frame, selecting a subset of pixels containing the gas and scene features, determining a span of pixel values within the subset, scaling the image frame to adjust the pixel values within the span, and displaying the adjusted image frame. Additional steps include determining a reference pixel value, generating a histogram of pixel values, and identifying peaks associated with the gas and scene features to define the span effectively.
The system described in the patent includes an imager, display, and logic device to perform the method steps. The logic device is configured to receive image frames, select pixel subsets, determine spans, scale the frames for increased contrast, and display the adjusted frames. The system is particularly useful for gas detection cameras, where enhancing the visibility of gas features against the scene background is crucial. By utilizing user input for selecting subsets and adjusting spans, the system ensures efficient contrast enhancement for improved gas detection capabilities. Additionally, the system can adjust spans dynamically based on pixel values in subsequent image frames, further optimizing the contrast enhancement process for real-time applications.
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