# US 12,604,097 B2 · Exposure convergence method and related image processing device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,604,097 B2 - Document ID: US12604097B2 - Status: Granted - Kind: B2 - Application number: 18/544,465 - Filed: 2023-12-19 - Published: 2024-10-24 - Granted: 2026-04-14 - Earliest claimed: 2023-04-19 - Assignees: Mediatek Inc. - Applicants: Mediatek Inc. - Inventors: Yen-Hsiang Tseng; Wei-Te Chang - Web page: https://patentgrep.com/patent/US12604097B2 ## CPC - H04N 23/73: by influencing the exposure time - H04N 23/71: Circuitry for evaluating the brightness variation - H04N 23/72: Combination of two or more compensation controls - H04N 23/76: by influencing the image signals - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract An exposure convergence method of showing forward change of image intensity in response to drastic change of ambient light and applied to an image processing device includes utilizing an exposure function to acquire an initial intensity of a detection image provided by an image sensor, providing an exposure setting parameter to the image sensor for generating an input image with a first intensity in accordance with an analysis result of the initial intensity, and utilizing a gain parameter to adjust the input image for generating an output image with a second intensity, so that the second intensity of a plurality of sequential output images is gradually varied in one direction. ## Claims ### Claim 1 An exposure convergence method of showing forward change of image intensity in response to drastic change of ambient light, the exposure convergence method comprising: acquiring an initial intensity of a detection image provided by an image sensor; providing an exposure setting parameter to the image sensor for generating an input image with a first intensity in accordance with an analysis result of the initial intensity; and utilizing a gain parameter to adjust the input image for generating an output image with a second intensity, so that the second intensity of a plurality of sequential output images is gradually varied in one direction; wherein the first intensity is lower than the intensity corresponding to a target brightness, and the second intensity determined based on the first intensity and the gain parameter is greater than the intensity corresponding to the target brightness, and the exposure setting parameter and the target brightness correspond to the gain parameter. ### Claim 2 (depends on 1) The exposure convergence method of claim 1, further comprising: acquiring statistics values of the detection image; and analyzing the statistics values for acquiring the initial intensity. ### Claim 3 (depends on 1) The exposure convergence method of claim 1, further comprising: analyzing the exposure setting parameter and the target brightness for deciding the gain parameter. ### Claim 4 (depends on 1) The exposure convergence method of claim 1, wherein the first intensity of a plurality of sequential input images is varied in opposite directions. ### Claim 5 (depends on 1) The exposure convergence method of claim 1, wherein intensity variation of parts of a plurality of input images is opposite to intensity variation of corresponding output images. ### Claim 6 (depends on 1) The exposure convergence method of claim 1, further comprising: acquiring a predefined intensity threshold; and modifying an intensity of at least one pixel inside the output image exceeding the predefined intensity threshold to the predefined intensity threshold. ### Claim 7 (depends on 6) The exposure convergence method of claim 6, further comprising: analyzing intensity distribution of the output image to decide the predefined intensity threshold. ### Claim 8 (depends on 1) The exposure convergence method of claim 1, further comprising: acquiring an initial exposure value of the detection image; and setting a predefined exposure threshold to decide the exposure setting parameter lower than the initial exposure value and having a difference between the initial exposure value and the exposure setting parameter equal to the predefined exposure threshold. ### Claim 9 (depends on 1) The exposure convergence method of claim 1, further comprising: providing the exposure setting parameter to the image sensor for adjusting a shutter speed and a sensor gain of the image sensor. ### Claim 10 An image processing device of executing an exposure convergence function, the image processing device comprising: a processing module communicated with an image sensor to acquire a detection image captured by the image sensor, the processing module being adapted to acquire an initial intensity of a detection image provided by an image sensor, provide an exposure setting parameter to the image sensor for generating an input image with a first intensity in accordance with an analysis result of the initial intensity, and utilize a gain parameter to adjust the input image for generating an output image with a second intensity, so that the second intensity of a plurality of sequential output images is gradually varied in one direction; wherein the first intensity is lower than the intensity corresponding to a target brightness, and the second intensity determined based on the first intensity and the gain parameter is greater than the intensity corresponding to the target brightness, and the exposure setting parameter and the target brightness correspond to the gain parameter. ### Claim 11 (depends on 10) The image processing device of claim 10, wherein the processing module is further adapted to acquire statistics values of the detection image, and analyze the statistics values for acquiring the initial intensity. ### Claim 12 (depends on 10) The image processing device of claim 10, wherein the processing module is further adapted to analyze the exposure setting parameter and the target brightness for deciding the gain parameter. ### Claim 13 (depends on 10) The image processing device of claim 10, wherein the first intensity of a plurality of sequential input images is varied in opposite directions. ### Claim 14 (depends on 10) The image processing device of claim 10, wherein intensity variation of parts of a plurality of input images is opposite to intensity variation of corresponding output images. ### Claim 15 (depends on 10) The image processing device of claim 10, wherein the processing module is further adapted to acquire a predefined intensity threshold, and modify an intensity of at least one pixel inside the output image exceeding the predefined intensity threshold to the predefined intensity threshold. ### Claim 16 (depends on 15) The image processing device of claim 15, wherein the processing module is further adapted to analyze intensity distribution of the output image to decide the predefined intensity threshold. ### Claim 17 (depends on 10) The image processing device of claim 10, wherein the processing module is further adapted to acquiring an initial exposure value of the detection image, and set a predefined exposure threshold to decide the exposure setting parameter lower than the initial exposure value and having a difference between the initial exposure value and the exposure setting parameter equal to the predefined exposure threshold. ### Claim 18 (depends on 10) The image processing device of claim 10, wherein the exposure setting parameter is at least one of a shutter speed and a sensor gain of the image sensor, and the gain parameter belongs to a gain function of the processing module.