Abstract: A dual sensor imaging system and a privacy protection imaging method thereof are provided. The system is configured to control at least one color sensor and at least one IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions adapted for an imaging scene, adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene, detect a feature area with features of a target of interest in the color image, and fuse the color image and the IR image to generate a fusion image with the details of the imaging scene, and crop an image of the feature area of the fusion image to be replaced with an image not belonging to the IR image, so as to generate a scene image.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The method includes: identifying an imaging scene; controlling a color sensor and an IR sensor to respectively capture color images and IR images by adopting capturing conditions suitable for the imaging scene; calculating a signal-to-noise ratio (SNR) difference between each color image and the IR images, and a luminance mean value of each color image; selecting the color image and IR image captured under capturing conditions of having the SNR difference less than an SNR threshold and the luminance mean value greater than a luminance threshold to execute a feature domain transformation to extract partial details of the imaging scene; and fusing the selected color image and IR image to adjust the partial details of the color image according to a guidance of the partial details of the IR image to obtain a scene image with full details.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: identify an imaging scene of the dual sensor imaging system; control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for the imaging scene; adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene; and fuse the selected color image and IR image to generate a scene image with details of the imaging scene.

Abstract: A dual sensor imaging system and a depth map calculation method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for an imaging scene, adaptively select a combination of the color image and the IR image that are comparable to each other from the color images and the IR images; and calculate a depth map of the imaging scene by using the selected color image and IR image.

Abstract: A dual sensor imaging system and a calibration method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images of an imaging scene by adopting multiple capturing conditions; calculate multiple color image parameters of the color image captured under each capturing condition and multiple IR image parameters of the IR image captured under each capturing condition to be used to calculate a difference between a brightness of the color image and a brightness of the IR image; and determine an exposure setting suitable for the color sensor and the IR sensor according to the calculated difference.

Abstract: A dual sensor imaging system and a depth map calculation method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for an imaging scene, adaptively select a combination of the color image and the IR image that are comparable to each other from the color images and the IR images; and calculate a depth map of the imaging scene by using the selected color image and IR image.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The method includes: identifying an imaging scene; controlling a color sensor and an IR sensor to respectively capture color images and IR images by adopting capturing conditions suitable for the imaging scene; calculating a signal-to-noise ratio (SNR) difference between each color image and the IR images, and a luminance mean value of each color image; selecting the color image and IR image captured under capturing conditions of having the SNR difference less than an SNR threshold and the luminance mean value greater than a luminance threshold to execute a feature domain transformation to extract partial details of the imaging scene; and fusing the selected color image and IR image to adjust the partial details of the color image according to a guidance of the partial details of the IR image to obtain a scene image with full details.

Abstract: A dual sensor imaging system and a privacy protection imaging method thereof are provided. The system is configured to control at least one color sensor and at least one IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions adapted for an imaging scene, adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene, detect a feature area with features of a target of interest in the color image, and fuse the color image and the IR image to generate a fusion image with the details of the imaging scene, and crop an image of the feature area of the fusion image to be replaced with an image not belonging to the IR image, so as to generate a scene image.

Abstract: A dual sensor imaging system and a calibration method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images of an imaging scene by adopting multiple capturing conditions; calculate multiple color image parameters of the color image captured under each capturing condition and multiple IR image parameters of the IR image captured under each capturing condition to be used to calculate a difference between a brightness of the color image and a brightness of the IR image; and determine an exposure setting suitable for the color sensor and the IR sensor according to the calculated difference.

Abstract: A dual sensor imaging system and an imaging method thereof are provided. The dual sensor imaging system includes at least one color sensor, at least one infrared ray (IR) sensor, a storage device, and a processor. The processor is configured to load and execute a computer program stored in the storage device to: identify an imaging scene of the dual sensor imaging system; control the color sensor and the IR sensor to respectively capture multiple color images and multiple IR images by adopting multiple exposure conditions suitable for the imaging scene; adaptively select a combination of the color image and the IR image that can reveal details of the imaging scene; and fuse the selected color image and IR image to generate a scene image with details of the imaging scene.

Abstract: An image processing method and an electronic device are provided. The method includes: obtaining a plurality of first images; obtaining first depth information; generating a second image according to the plurality of first images; identifying a subject and a background of the second image according to the first depth information; determining whether the subject of the second image needs to be optimized; when the subject of the second image needs to be optimized, optimizing the subject of the second image, generating an output image according to the background and the optimized subject, and outputting the output image; and when the subject of the second image does not need to be optimized, generating the output image according to the background and the subject and outputting the output image.

Abstract: The disclosure provides an image processing method and an image processing device. The method includes: retrieving a first image of a specific scene, and capturing a first subject from the first image; determining a first brightness based on the first subject; using the first brightness as a reference value of a bracketing mechanism, and performing the bracketing mechanism to capture a plurality of second images of the specific scene; synthesizing the second images as a first high dynamic range image; capturing a second subject from the first high dynamic range image, wherein the second subject has a second brightness; when the second brightness is lower than the first brightness by a predetermined threshold, optimizing the second subject; synthesizing the optimized second subject with the first high dynamic range image as a second high dynamic range image.

Abstract: The disclosure provides an image processing method and an image processing device. The method includes: retrieving a first image of a specific scene, and capturing a first subject from the first image; determining a first brightness based on the first subject; using the first brightness as a reference value of a bracketing mechanism, and performing the bracketing mechanism to capture a plurality of second images of the specific scene; synthesizing the second images as a first high dynamic range image; capturing a second subject from the first high dynamic range image, wherein the second subject has a second brightness; when the second brightness is lower than the first brightness by a predetermined threshold, optimizing the second subject; synthesizing the optimized second subject with the first high dynamic range image as a second high dynamic range image.

Abstract: An image processing method and an electronic device are provided. The method includes: obtaining a plurality of first images; obtaining first depth information; generating a second image according to the plurality of first images; identifying a subject and a background of the second image according to the first depth information; determining whether the subject of the second image needs to be optimized; when the subject of the second image needs to be optimized, optimizing the subject of the second image, generating an output image according to the background and the optimized subject, and outputting the output image; and when the subject of the second image does not need to be optimized, generating the output image according to the background and the subject and outputting the output image.

Abstract: An optical image capture structure is provided, which includes a substrate, a frame, a photosensitive element, a first axial actuator, a second axial actuator, and a third axial actuator. The frame moves relative to the substrate, and the photosensitive element is mounted in the frame for capturing an optical image. The first axial actuator is connected between the frame and the photosensitive element, the second axial actuator is connected between the frame and the photosensitive element, and the third axial actuator is connected between the frame and the substrate. The first axial actuator, the second axial actuator, and the third axial actuator are used for moving the photosensitive element in a first axial direction, a second axial direction, and a third axial direction, thereby making the photosensitive element to move as an optical axis changes, thereby clearly imaging the optical image on the photosensitive element.

Abstract: An interpolation method for generating pixel color is used for color generating of an array composed of red, green, and blue pixels so that each pixel has red, green, and blue components. After signals of the pixel array are received, the signal trends in the horizontal and vertical directions around pixels are first determined. Next, two pixels adjacent to each pixel are calculated along the direction of minimum variation to complement data of the pixel location using this calculated value. Subsequently, the lost blue or/and red component of each pixel is generated for pixels in the horizontal and vertical directions so that each pixel has red, green, and blue components. Accurate color interpolation can thus be provided to accomplish the effect of high and stable resolution.

Abstract: An interpolation method for generating pixel color is used for color generating of an array composed of red, green, and blue pixels so that each pixel has red, green, and blue components. After signals of the pixel array are received, the signal trends in the horizontal and vertical directions around pixels are first determined. Next, two pixels adjacent to each pixel are calculated along the direction of minimum variation to complement data of the pixel location using this calculated value. Subsequently, the lost blue or/and red component of each pixel is generated for pixels in the horizontal and vertical directions so that each pixel has red, green, and blue components. Accurate color interpolation can thus be provided to accomplish the effect of high and stable resolution.