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 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 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 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 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 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 capture device and a calibration method of phase detection autofocus thereof are provided. A contrast-based autofocus procedure is executed to move a lens to multiple lens positions, and a statistical distribution of focus values is obtained based on the contrast-based autofocus procedure. Whether the phase linear relationship for a phase detection autofocus procedure is calibrated is determined according to the statistical distribution of the focus values. If yes, then a first phase difference detected when the lens is located at one of the lens positions is obtained, and a second phase difference detected when the lens is located at another one of the lens positions is obtained. The phase linear relationship of the phase detection autofocus procedure is calibrated according to the one of the lens positions, the first phase difference, the other one of the lens positions, and the second phase difference.

Abstract: An optimization method of image depth information and an image processing apparatus are provided. A to-be-repaired depth map generated based on a left image and a right image is obtained. A superpixel segmenting process is performed on the left image or the right image to obtain multiple superpixels. A plurality of image segments are obtained by aggregating the superpixels according to pixel information in the superpixels. A hole filling process is performed on holes of the to-be-repaired depth map to obtain a hole-filled depth map. A statistical analysis is performed on first valid depth values of the to-be-repaired depth map and second valid depth values of the hole-filled depth map to obtain a plurality of optimized depth values by using the ranges of the image segments, the ranges of the superpixels, the to-be-repaired depth map, and the hole-filled depth map.

Abstract: An image capture device and a calibration method of phase detection autofocus thereof are provided. A contrast-based autofocus procedure is executed to move a lens to multiple lens positions, and a statistical distribution of focus values is obtained based on the contrast-based autofocus procedure. Whether the phase linear relationship for a phase detection autofocus procedure is calibrated is determined according to the statistical distribution of the focus values. If yes, then a first phase difference detected when the lens is located at one of the lens positions is obtained, and a second phase difference detected when the lens is located at another one of the lens positions is obtained. The phase linear relationship of the phase detection autofocus procedure is calibrated according to the one of the lens positions, the first phase difference, the other one of the lens positions, and the second phase difference.

Abstract: An optimization method of image depth information and an image processing apparatus are provided. A to-be-repaired depth map generated based on a left image and a right image is obtained. A superpixel segmenting process is performed on the left image or the right image to obtain multiple superpixels. A plurality of image segments are obtained by aggregating the superpixels according to pixel information in the superpixels. A hole filling process is performed on holes of the to-be-repaired depth map to obtain a hole-filled depth map. A statistical analysis is performed on first valid depth values of the to-be-repaired depth map and second valid depth values of the hole-filled depth map to obtain a plurality of optimized depth values by using the ranges of the image segments, the ranges of the superpixels, the to-be-repaired depth map, and the hole-filled depth map.

Abstract: The present invention discloses an image capturing device and an exposure time adjusting method thereof. The image capturing device comprises an image capturing module, a processing module and an image integrated module. The image capturing module is used to capture a plurality of temporary images. While the image capturing module captures the temporary images, the processing module dynamically adjusts the exposure times of the temporary images according to a predetermined file, a plurality of analysis results of the temporary images or the vibration information sensed by a vibration sensor. Next, the image integrated module controlled by a control module in the processing module integrates the temporary images to generate a stored image.

Abstract: A method for adjusting focus position and an electronic apparatus are provided. Herein, a depth map is obtained according to a first image and a second image which are captured by a first lens and a second lens, respectively. A plurality of depth values included in the depth map is compared with a depth of field (DOF) table for obtaining a plurality of focus distances. An All-in-Focus (AIF) image is generated according to a plurality of focus images captured by the first lens with the focus distances, respectively. A blur process is executed for a plurality of pixels excluding a focus selected location in the AIF image, so as to obtain an adjusting image.

Abstract: A method for adjusting focus position and an electronic apparatus are provided. Herein, a depth map is obtained according to a first image and a second image which are captured by a first lens and a second lens, respectively. A plurality of depth values included in the depth map is compared with a depth of field (DOF) table for obtaining a plurality of focus distances. An All-in-Focus (AIF) image is generated according to a plurality of focus images captured by the first lens with the focus distances, respectively. A blur process is executed for a plurality of pixels excluding a focus selected location in the AIF image, so as to obtain an adjusting image.

Abstract: The present invention discloses an electronic apparatus, an image capturing apparatus and a method thereof. The image capturing method comprises the following steps of: capturing a plurality of temporal images by an image capturing module, and setting one of the temporal images as a base image by a processing module; dividing each temporal image into a plurality of temporal image blocks, and dividing the base image into a plurality of base image blocks by the processing module; determining whether the difference between each temporal image block and the corresponding base image block is lower than a threshold value by the processing module; integrating the temporal image block and the corresponding base image block to generate a final image by the processing module when the difference between the temporal image block and the corresponding base image block is lower than the threshold value.

Abstract: A method for capturing a three dimensional (3D) image by using a single-lens camera is provided. First, a first image is captured. According to a focus distance of the single-lens camera in capturing the first image and an average distance between two human eyes, an overlap width between the first image and a second image required for capturing the second image of the 3D image is calculated. Then, the first image and a real-time image captured by the single-lens camera are displayed, and an overlap area is marked on the first image according to the calculated overlap width. A horizontal shift of the single-lens camera is adjusted, to locate the real-time image in the overlap area. Finally, the real-time image is captured as the second image, and the first and second images are output as the 3D image.

Abstract: A method and an apparatus for generating an image with shallow depth of field, suitable for a three-dimensional imaging system having a left lens and a right lens, are provided. First, the left lens and the right lens are used to capture a left-eye image and a right-eye image. Next, a disparity between each of a plurality of corresponding pixels in the left and right-eye images is calculated. Then, the depth information of each pixel is estimated according to a focus of the left and right lens, a lens pitch between the left lens and the right lens, and the calculated disparity of each pixel. Finally, the pixels in the left-eye image and the right-eye image are blurred according to the focus of the left lens and the right lens and the estimated depth information of each pixel, so as to obtain the image with shallow depth of field.