Abstract: An image stitching method adapted to stitch a plurality of fundus images of an animal is provided. The image stitching method includes following steps. A plurality of fundus images of the animal are captured, where the fundus images partially overlap. The fundus images are respectively converted into a plurality of grayscale images. The contrasts of the grayscale images are enhanced. The grayscale images with enhanced contrasts are compared to obtain a plurality of stitching data. The fundus images are stitched according to the stitching data. Additionally, a camera system is also provided.

Abstract: A fundus image detection apparatus capable of detecting a fundus image of an eye of an animal is provided. The fundus image detection apparatus includes an image capturing unit and an image processing unit electrically connected with the image capturing unit. The image processing unit has a lookup table. The image processing unit corrects the fundus image of the eye of the animal according to the lookup table to diminish pincushion distortion. Moreover, a method for obtaining a fundus image of an eye of an animal is also provided.

Abstract: A handheld electronic device and a frame control method of digital information thereof. The handheld electronic device comprises a display module, a detection module and a processing module. The display module is used to display the digital information. The detection module is connected to the display module and used to detect whether the display module is touched by a predetermined method and also used to detect a duration time or a motion track when the display module is touched by the predetermined method. The processing module is connected to the display module and the detection module and determines whether the duration time exceeds a threshold value or the motion track corresponds to a preset graphic. When the duration time exceeds the threshold value or the motion track corresponds to the preset graphic, the processing module would execute a preset process action of the digital information.

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.

Abstract: An image processing apparatus and a processing method thereof are provided. The image processing apparatus includes an image capturing module, an image separation module, an image stabilization module, a temporal noise reduction module, and a spatial noise reduction module. The image capturing module captures a plurality of Bayer pattern images. The image separation module decreases the Bayer pattern images in size and transforms them into a plurality of YCbCr format images. The image stabilization module receives Y channel images of the YCbCr format images and the Bayer pattern images to perform motion estimation, to produce a plurality of global motion vectors (GMVs). The temporal noise reduction module performs temporal blending process on the Bayer pattern images according to the GMVs, to produce first noise reduction images. The spatial noise reduction module performs 2-dimensional spatial noise reduction on the first noise reduction images to produce second noise reduction images.

Abstract: An entered image is divided into a plurality of windows and it is determined, on a per-window basis, whether the image data within an applicable window is indicative of the color white, based upon the position of each window in the image and the continuity to its surrounding divided windows. A white balance method is performed based upon data of a window determined to be indicative of the color white. The present invention conducts a white balance process through the addition of determining the light source type weight and calculating the continuity of each divided window and its surrounding divided windows. In order the white balance process to accurately obtain the colors of an entered image even under the conditions of specific scenes with distinctive colors.

Abstract: An image stitching method adapted to stitch a plurality of fundus images of an animal is provided. The image stitching method includes following steps. A plurality of fundus images of the animal are captured, where the fundus images partially overlap. The fundus images are respectively converted into a plurality of grayscale images. The contrasts of the grayscale images are enhanced. The grayscale images with enhanced contrasts are compared to obtain a plurality of stitching data. The fundus images are stitched according to the stitching data. Additionally, a camera system is also provided.

Abstract: A fundus image detection apparatus capable of detecting a fundus image of an eye of an animal is provided. The fundus image detection apparatus includes an image capturing unit and an image processing unit electrically connected with the image capturing unit. The image processing unit has a lookup table. The image processing unit corrects the fundus image of the eye of the animal according to the lookup table to diminish pincushion distortion. Moreover, a method for obtaining a fundus image of an eye of an animal is also provided.

Abstract: An image capturing apparatus including a plurality of image sensing modules and at least a light source is provided for capturing an image of an eye. Each of the image sensing modules includes an image sensor and a lens. The light source emits an illumination light, and the illumination light irradiates the eye. The eye reflects the illumination light into an image light. The image light includes a plurality of sub-image beams, and the sub-image beams are transmitted to the image sensors of the image sensing modules through the lenses of the image sensing modules, respectively. A capturing method is also provided.

Abstract: An imaging apparatus configured to capture an image of an object to be detected is provided. The imaging apparatus includes an imaging unit, a lens, and a front cover. The lens is located on the imaging unit and has a first optical axis. The front cover is rotatably connected to the lens. Relative locations of the front cover and the object are fixed by the leaning-against of the front cover. The lens is rotated with respect to the front cover, so that the first optical axis is rotated with respect to the object.

Abstract: A camera device configured to obtain an image of an eye is provided. The camera apparatus includes an image sensing unit, a lens set, and a processing unit. The lens set is located between the image sensing unit and the eye and projects light from the eye to the image sensing unit. Here, the lens set and the image sensing unit correspondingly move relative to the eye and continuously shoot a plurality of images of a plurality of parts of the eye. The processing unit is electrically connected to the image sensing unit, and the processing unit stitches the images. A photographing method is also provided.

Abstract: The present invention discloses a configure image process system and a configure image process method thereof applicable to a predetermine image process structure. The configure image process system includes N pieces of logic hardware and a control module, wherein N is a positive integer. Each piece of the logic hardware respectively corresponds to an algorithm structure, and the control module connects to each piece of the logic hardware. The control module can selectively apply the N pieces of logic hardware to combine at least one part of the predetermine image process structure to perform the image process.

Abstract: The present invention discloses an image capturing device and a lens actuating device and a lens actuating method thereof. The lens actuating device comprises a focus lens group, a zoom lens group, a motor and a microcontroller. The focus lens group is arranged for changing a focus point of the image. The zoom lens group is arranged for changing distance of the image. The motor is arranged for driving the movements of the focus lens group and the zoom lens group respectively. The microcontroller is arranged for receiving a plurality of instructions, and controlling the motor at one of a plurality of predetermined speeds according to the instruction received to control the motor to drive the focus lens group or the zoom lens group to perform a focus motion or a zoom motion.

Abstract: An image processing method and an apparatus using the same are provided. The method includes the following steps: deriving a global motion vector between a first image and a second image and providing the first image, the second image and the global motion vector to a first application process, wherein the first image is the previous image of the second image; deriving a first compensated image and a second compensated image by performing a lens distortion compensation process on the first image and the second image respectively; deriving a compensated global motion vector corresponding to the first compensated image and the second compensated image by transforming and correcting the global motion vector; and providing the first compensated image, the second compensated image, and the compensated global motion vector to a second application process.

Abstract: The present invention discloses an electronic apparatus, an image capturing apparatus and a method thereof. The image capturing method comprises the steps of: capturing a plurality of temporal images by an image capturing module; setting one of the temporal images as a base image by a processing module; determining whether the difference between the temporal images and the base image is over a predetermined range by the processing module; if yes, deleting the temporal image by the processing module; combining the else temporal images and the base image and correspondingly generating an output image.

Abstract: An image capturing device and an image capturing method thereof are disclosed. The image capturing device includes an image capturing module and a processing module. The image capturing module captures a plurality of temporary images corresponding to a scene. The processing module sequentially analyzes the temporary images and generates a plurality of analysis results. The processing module dynamically adjusts the sampling time of the image capturing module capturing each temporary image according to the analysis results. Moreover, the processing module selects some of the plurality of temporary images according to the analysis results to integrate images. The image capturing module stops capturing the temporary images based upon a stop signal, and finally a storage image is generated.

Abstract: An interface circuit for an image receiving apparatus is disclosed. The interface circuit includes a plurality of signal transporting units, and each of the signal transporting units has a first signal receiving terminal and a second signal receiving terminal for receiving a first input signal and a second input signal respectively. Each of the signal transporting units compares the first input signal and the second input signal to generate a compare result. Each of the signal transporting units outputs the first input signal and the second input signal and/or the compare result according to a setting mode.

Abstract: The invention is an optical lens assembly for capturing images and an image capture device therewith. The optical lens assembly for capturing images includes, along an optical axis, a total reflection prism, a first lens group having negative focal power, wherein the first lens group comprises a lens having negative focal power, a second lens group having positive focal power, wherein the second lens group comprises at least one lens having an aspherical optical surface, a third lens group having positive focal power, wherein the third lens group comprises at least one lens having positive focal power and at least one lens having negative focal power, and a fourth lens group having positive focal power, wherein the fourth lens group comprises at least one lens having an aspherical optical surface. Thereby, the aberration can be improved and a thin lens module for capturing images can be achieved.

Abstract: An auto-focus (AF) method adapted for an image capturing device includes following steps. When a first press signal generated by a user pressing a button of the image capturing device is detected, a local peak searching method is applied to perform an AF procedure. It is determined whether a second press signal generated by the user pressing the button is detected. If not, it is determined whether a first released signal generated by the user releasing the button is detected. The continuous pressing count is calculated according to the first released signal and the first press signal that are continuously generated. Whether the continuous pressing count is greater than a first threshold is determined. If yes, a global peak searching method is applied to perform the AF procedure. If not, the local peak searching method is still applied to perform the AF procedure.

Abstract: A noise elimination method of an image sequence is described. During a color separation of a raw image data captured by an image capturing element, 3D filtering is integrated. First, the raw image data is converted into a gray-scaled full luma image, an interframe filtering process is performed to eliminate possible noises in the gray-scaled full luma image, and an interpolation process is performed with the raw image data. During the implementation, an adaptive frame average filtering process is also performed to obtain a preferred image filtering result through an appropriate filtering manner. Therefore, an adaptive interframe interpolation for eliminating noises is to prevent noises or artifacts generated by the noises from affecting the subsequent image processing.