METHOD AND SYSTEM FOR REAL-TIME NOISE REMOVAL AND IMAGE ENHANCEMENT OF HIGH-DYNAMIC RANGE IMAGES
First Claim
1. A method for real-time noise removal and image enhancement of high-dynamic range HDR images, the method comprising:
- receiving an input image I, the input image I comprising a HDR image;
operating processing circuitry forapplying a first edge-preserving filter to the input image I, thereby generating a first image component B1 and a first set of linear coefficients ā
i,1;
said method is characterized by;
applying a second edge-preserving filter to the input image I, thereby generating a second image component B2 and a second set of linear coefficients ā
i,2;
generating a plausibility mask P from a combination of the first set of linear coefficients ā
i,1 and the second set of linear coefficients ā
i,2, the plausibility mask P indicating spatial detail within the input image I; and
generating an output image O based on first image component B1, the second image component B2 and the plausibility mask P.
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Abstract
A method and system for real-time noise removal and image enhancement of high-dynamic range (HDR) images. The method includes receiving an HDR input image I and operating processing circuitry for (i) applying a first edge-preserving filter (e.g. guided filter) to the input image I, thereby generating a first image component B1 and a first set of linear coefficients āi,1; (ii) applying a second edge-preserving filter (e.g. guided filter) to the input image I, thereby generating a second image component B2 and a second set of linear coefficients āi,2; (iii) generating a plausibility mask P from a combination of the first set of linear coefficients āi,1 and the second set of linear coefficients āi,2, the plausibility mask P indicating spatial detail within the input image I; and (iv) generating an output image O based on first image component B1, the second image component B2 and the plausibility mask P.
15 Citations
22 Claims
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1. A method for real-time noise removal and image enhancement of high-dynamic range HDR images, the method comprising:
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receiving an input image I, the input image I comprising a HDR image; operating processing circuitry for applying a first edge-preserving filter to the input image I, thereby generating a first image component B1 and a first set of linear coefficients ā
i,1;said method is characterized by; applying a second edge-preserving filter to the input image I, thereby generating a second image component B2 and a second set of linear coefficients ā
i,2;generating a plausibility mask P from a combination of the first set of linear coefficients ā
i,1 and the second set of linear coefficients ā
i,2, the plausibility mask P indicating spatial detail within the input image I; andgenerating an output image O based on first image component B1, the second image component B2 and the plausibility mask P. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22)
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20. A system for real-time noise removal and image enhancement of high-dynamic range HDR images, the system comprising:
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circuitry for receiving or storing an input image I, the input image I comprising a HDR image; processing circuitry, coupled to the circuitry for receiving or storing an input image I, the processing circuitry being operable for applying a first edge-preserving filter to the input image I, thereby generating a first image component B1 and a first set of linear coefficients ā
i,1;applying a second edge-preserving filter to the input image I, thereby generating a second image component B2 and a second set of linear coefficients ā
i,2;generating a plausibility mask P from a combination of the first set of linear coefficients ā
i,1 and the second set of linear coefficients ā
i,2, the plausibility mask P indicating spatial detail within the input image I; andgenerating an output image O based on first image component B1, the second image component B2 and the plausibility mask P.
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Specification