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: A method and an image pick-up apparatus for calculating coordinates of an object being captured by using fisheye images are provided. In the method, a first and a second fisheye image containing the object are respectively captured by using a first and a second fisheye lens. Coordinates of the object in the first and the second fisheye image are detected. A first and a second azimuth angle of the object relative to fisheye centers of the first and the second fisheye image on an image sensor plane are accordingly calculated. Distances between the coordinates of the object and the fisheye centers are respectively transformed into a first and a second incident angle through lens curves of the fisheye lenses. Three-dimensional coordinates of the object are calculated according to the first and the second azimuth angle, the first and the second incident angle, and a baseline distance between the fisheye lenses.

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 image processing method and an image processing device are provided. The image processing method includes: obtaining images and calculating depth information corresponding to the images via a processor; segmenting each of the images into a foreground area and a background area according to color information, brightness information, and the depth information of the images via the processor; obtaining the foreground area of a first image of the images via the processor, wherein a brightness of the foreground area of the first image is greater than a first threshold; obtaining the background area of a second image of the images via the processor, wherein a brightness of the background area of the second image is less than a second threshold; and fusing the foreground area of the first image and the background area of the second image via the processor to generate a high dynamic range image.

Abstract: A method and an image pick-up apparatus for calculating coordinates of an object being captured by using fisheye images are provided. In the method, a first and a second fisheye image containing the object are respectively captured by using a first and a second fisheye lens. Coordinates of the object in the first and the second fisheye image are detected. A first and a second azimuth angle of the object relative to fisheye centers of the first and the second fisheye image on an image sensor plane are accordingly calculated. Distances between the coordinates of the object and the fisheye centers are respectively transformed into a first and a second incident angle through lens curves of the fisheye lenses. Three-dimensional coordinates of the object are calculated according to the first and the second azimuth angle, the first and the second incident angle, and a baseline distance between the fisheye lenses.

Abstract: An image pickup module includes a frame, two or more than two image pickup devices including electric circuit board and plural affixing gel layers. The frame includes two or more than two image pickup openings, and each of the image pickup devices is disposed in one of the image pickup openings. Each of the image pickup devices is adhered to an inner edge of one of the image pickup openings through one of the affixing gel layers, so as to affix the image pickup devices to the frame. A manufacture method of an image pickup module is also provided.

Abstract: An image pickup module includes a frame, two or more than two image pickup devices including electric circuit board and plural affixing gel layers. The frame includes two or more than two image pickup openings, and each of the image pickup devices is disposed in one of the image pickup openings. Each of the image pickup devices is adhered to an inner edge of one of the image pickup openings through one of the affixing gel layers, so as to affix the image pickup devices to the frame. A manufacture method of an image pickup module is also provided.

Abstract: An image pickup module includes a frame, two or more than two image pickup devices including electric circuit board and plural affixing gel layers. The frame includes two or more than two image pickup openings, and each of the image pickup devices is disposed in one of the image pickup openings. Each of the image pickup devices is adhered to an inner edge of one of the image pickup openings through one of the affixing gel layers, so as to affix the image pickup devices to the frame. A manufacture method of an image pickup module is also provided.

Abstract: An eardrum incision device includes a main body, a replaceable inserting portion and a display device. The replaceable inserting portion is detachably connected to the main body. The replaceable inserting portion has an insertion end located on a side far away from the main body and adapted to be inserted into an ear canal of a user. The replaceable inserting portion includes an image-capturing device, a mounting hole and a replaceable incision component. The image-capturing device is disposed at the insertion end. The mounting hole extends in a direction from the insertion end toward the main body. The replaceable incision component is removably disposed in the mounting hole and adapted to pierce out of the mounting hole in a direction toward the insertion end, so as to incise the eardrum of the user. The display device is disposed on the main body and electrically connected to the image-capturing device.

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: The invention is directed to a dust removal system, an image capture device and a dust removal vibration method thereof. The dust removal system includes a vibration generation module having a vibration unit which is arranged on a transparent object of an image capture device, and is driven to generate a vibration for dust removal, a vibration detection unit arranged on the transparent object and transform a vibration amplitude into a corresponding electrical signal so as to output a feedback signal continually, a compare unit outputting a control signal when the compare unit determines the feedback signal exceeds the threshold value, and a control unit controlling the vibration generation module based on the control signal to generate the corresponding vibration for dust removal. Thereby, an amplitude of the transparent object can be precisely obtained and the vibration can be precisely adjusted.

Abstract: A method and a device for generating a three-dimensional image are provided. In the method, in an Nth time slot, an Nth left-eye image is received and stored in a download buffer of a first memory unit by a first control unit. An Nth right-eye image is received and stored in a download buffer of a second memory unit by a second control unit, where N is a positive integer from 1 to M, and M is a positive integer. In an (N+1)th time slot, the Nth right-eye image is received from the second control unit through a data transmission interface and stored in a receive buffer of the first memory unit. In an (N+2)th time slot, the Nth left-eye image and the Nth right-eye image are combined into an Nth three-dimensional image stored in a display buffer of the first memory unit for real time display.

Abstract: The disclosure illustrates an image encryption and decryption method using physiological features and image capture device using the same method. The image encryption and decryption method comprises an encryption procedure and a decryption procedure. The encryption procedure comprises following steps. At first, an image capture module is used to capture a plurality of first iris images. An encryption-decryption module is used to generate a first key according to the plurality of first iris images. When an image is generated by the image capture module, the encryption-decryption module encrypts the image with the first key to generate an encrypted image. The decryption procedure comprises following a step of using the encryption-decryption module to decrypt the encrypted image with the first key.