Abstract: A method for reducing matching errors in disparity images by information in zoom images is revealed. Images with different local length captured by two zoom cameras are given. Perform image and zoom rectification of the images to get a new image center. Then cross checking is used to check whether the corresponding points of each pixel in the image are matched for marking the pixel as a reliable point or an unreliable point. Computation of stereo matching cost is carried out when a reliable point is marked. Otherwise stereo matching and zoom image matching are performed. The matching cost is aggregated by weighting so as to select the matching cost that mostly represents the similarity. Use WTA to get final matching results and disparities thereof for disparity selection. Lastly use a median filter to remove noise from the image for disparity refinement and get a final disparity image.

Abstract: A method for reducing matching errors in disparity images by information in zoom images is revealed. Images with different local length captured by two zoom cameras are given. Perform image and zoom rectification of the images to get a new image center. Then cross checking is used to check whether the corresponding points of each pixel in the image are matched for marking the pixel as a reliable point or an unreliable point. Computation of stereo matching cost is carried out when a reliable point is marked. Otherwise stereo matching and zoom image matching are performed. The matching cost is aggregated by weighting so as to select the matching cost that mostly represents the similarity. Use WTA to get final matching results and disparities thereof for disparity selection. Lastly use a median filter to remove noise from the image for disparity refinement and get a final disparity image.

Abstract: A measurement method for environment depth and the image extraction device thereof is revealed. First, rotate an image extraction unit and extract a plurality of images using an image extraction device according to different viewing angles of a target object. Then, use disparity information of the plurality of images and an image parameter of the image extraction unit to give a plurality pieces of depth-of-field information, which are further used for giving environment depth information. The image extraction device has an image extraction unit and a rotating member. The rotating member is connected with the base; the rotating member is connected to the image extraction unit, which is located on one side of the rotating member. The plurality of images with different viewing angles are extracted to the image extraction unit as the rotating member rotates about a rotating center to different image extracting locations.

Abstract: A focusing method having depth-of-field adaptability and aperture adaptability is provided. The method is applied to an image capture unit. A plurality of first images are captured in an image capture window according to a plurality of objects for obtaining a plurality of distances between the plurality objects and the image capture unit. Thereby, a focus distance of the image capture unit is given. Then, according to a maximum value and a minimum vale of the plurality of distances, the first aperture is adjusted to a second aperture, so that the image capture unit can acquire a complete depth of field by means of the second aperture and the focus distance. Accordingly, the preferred focus distance and depth of field satisfying the requirements for theme or special depth of field can be acquired. In addition, image capturing can be performed for a shorter exposure time.

Abstract: A focusing method having depth-of-field adaptability and aperture adaptability is provided. The method is applied to an image capture unit. A plurality of first images are captured in an image capture window according to a plurality of objects for obtaining a plurality of distances between the plurality objects and the image capture unit. Thereby, a focus distance of the image capture unit is given. Then, according to a maximum value and a minimum vale of the plurality of distances, the first aperture is adjusted to a second aperture, so that the image capture unit can acquire a complete depth of field by means of the second aperture and the focus distance. Accordingly, the preferred focus distance and depth of field satisfying the requirements for theme or special depth of field can be acquired. In addition, image capturing can be performed for a shorter exposure time.

Abstract: An image enhancement method for improving color perception of colorblind viewers has an image input step, an image difference area analyzing step, an image color distribution adjusting step, and an image output step. In such method, a normal image and a colorblindness-simulative image are input and calculated to produce a colorblindness-optimized image. Color vision obtained by a colorblind person from the colorblindness-optimized image is substantially identical to that obtained by a person with normal color perception from the normal image.

Abstract: A method for estimating blur degree of image and a method for evaluating image quality are revealed. First, an input image is transmitted to an image processing device for producing a synthesized blur image including a nonlinear image sensing function according to a pixel intensity distribution parameter of the input image. Next, the image processing device matches the pixel intensity distribution according to the input image and the synthesized blur image for producing a blur degree parameter; By the way, the image processing device further estimating an estimated blur result according to the blur degree parameter. The method for estimating blur degree of image can be further applied to estimate blur distribution for a plurality of regions of interest of a plurality of input images. Thereby, the blur distribution of the input images can be estimated, and thus further evaluating the image quality of the plurality of input images.

Abstract: A measurement method for environment depth and the image extraction device thereof is revealed. First, rotate an image extraction unit and extract a plurality of images using an image extraction device according to different viewing angles of a target object. Then, use disparity information of the plurality of images and an image parameter of the image extraction unit to give a plurality pieces of depth-of-field information, which are further used for giving environment depth information. The image extraction device has an image extraction unit and a rotating member. The rotating member is connected with the base; the rotating member is connected to the image extraction unit, which is located on one side of the rotating member. The plurality of images with different viewing angles are extracted to the image extraction unit as the rotating member rotates about a rotating center to different image extracting locations.

Abstract: A method for estimating image conversion parameters is revealed. Firstly, using an image capturing unit to capture at least one captured image of an object to an image processing unit for calculation. The image processing unit can take linear brightness change of single captured image to estimate the image conversion parameters, also can take comparison of linear and non-linear images to estimate the image conversion parameters, further can take the difference of exposure quantities to estimate the image conversion parameters. Therefore, the estimation of the image conversion parameters can be finished well and easily.

Abstract: An image enhancement method for improving color perception of colorblind viewers has an image input step, an image difference area analyzing step, an image color distribution adjusting step, and an image output step. In such method, a normal image and a colorblindness-simulative image are input and calculated to produce a colorblindness-optimized image. Color vision obtained by a colorblind person from the colorblindness-optimized image is substantially identical to that obtained by a person with normal color perception from the normal image.

Abstract: A method for estimating blur degree of image and a method for evaluating image quality are revealed. First, an input image is transmitted to an image processing device for producing a synthesized blur image including a nonlinear image sensing function according to a pixel intensity distribution parameter of the input image. Next, the image processing device matches the pixel intensity distribution according to the input image and the synthesized blur image for producing a blur degree parameter; By the way, the image processing device further estimating an estimated blur result according to the blur degree parameter. The method for estimating blur degree of image can be further applied to estimate blur distribution for a plurality of regions of interest of a plurality of input images. Thereby, the blur distribution of the input images can be estimated, and thus further evaluating the image quality of the plurality of input images.

Abstract: A stereo matching method based on image intensity quantization is revealed. The method includes several steps. Firstly, provide computer an image pair of an object for image intensity quantization of the image pair to get a quantization result. Then according to the quantization result, a first extracted image pair is generated and used to get a first disparity map. A second extracted image pair is generated similarly to get a second disparity map. Next the two disparity maps are compared with each other to get an image error data. When an error contained in the image error data is smaller than or equal to an error threshold value, the computer outputs the second disparity map. Moreover, accuracy of disparity maps is improved by iteration processing. Therefore, the amount of information for processing is minimized and efficiency of data access/transmission is improved.

Abstract: An apparatus and a method for measuring the depth of an object in a scene and a method for computing image defocus and blur status are provided. An image analysis unit receives a plurality of reference blurred images, analyzes the reference blurred images, produces reference grey-scale distribution data, where the reference blurred images corresponds to a plurality of reference depths, respectively. A blur comparison module produces a blur model according to the reference grey-scale distribution data and the corresponding reference depths. The image analysis unit receives a target blurred image, analyzes the target blurred image, and produces and transmits target grey-scale distribution data to the blur comparison module for comparing the target grey-scale distribution data according to the blur model, and producing depth information. Moreover, the present invention further produces the corresponding blur status data, used in defocus and blur computations, according to the defocused and blurred image.

Abstract: A 3D model reconstruction acquisition includes the steps of preparing a transparent container and at least one image capture device, wherein an object is placed in the transparent container and a liquid is received in the transparent container; keeping the liquid level rising or lowering to allow the liquid level to pass through a surface of the object and then keeping capturing a series of the images; computing a liquid-level equation for each of the images by using curves of the images between the object and the incremental or decremental liquid level confined by the transparent container; computing 3D coordinates of the curves in accordance with the liquid-level equation of each image; and collecting 3D coordinates of all of the curves to create a 3D model of the object. In addition, the acquisition can be done in the environment having water and thus be applied to various environments.

Abstract: A stereo matching method based on image intensity quantization is revealed. The method includes several steps. Firstly, provide computer an image pair of an object for image intensity quantization of the image pair to get a quantization result. Then according to the quantization result, a first extracted image pair is generated and used to get a first disparity map. A second extracted image pair is generated similarly to get a second disparity map. Next the two disparity maps are compared with each other to get an image error data. When an error contained in the image error data is smaller than or equal to an error threshold value, the computer outputs the second disparity map. Moreover, accuracy of disparity maps is improved by iteration processing. Therefore, the amount of information for processing is minimized and efficiency of data access/transmission is improved.

Abstract: A method for high dynamic range imaging includes the steps of arranging at least two cameras parallel and meanwhile capturing a plurality of images of one scene with different exposures by the at least two cameras; adjusting the captured images for the same exposure thereof subject to the response functions of the cameras respectively and then defining a plurality of characteristic spots in each of the images; combining the characteristic spots corresponding to the images respectively to get a displacement of the corresponding characteristic spot in each image and to further get a disparity map; and applying the displacement between the two corresponding characteristic spots in the corresponding images and synthesizing the images to form a synthetic image.

Abstract: A non-uniformly sampled three-dimensional (3D) information representation method is revealed. Firstly, use a computer to reconstruct a 3D model according to a 3D model data. Then set up a projection point according to the 3D model. The projection point is projected onto the 3D mode so as to get a plurality of sampling points uniformly. Then create at least one 2D array data according to a plurality of horizontal parameters and a plurality of vertical parameters of a 3D sample model. The 2D array, data corresponds to the sampling points. Take samples from non-uniform area of the 3D model so as to generate a non-uniform element. Thus, the 3D model data is simplified and this is beneficial to representation, operation, storage and transmission of 3D data.

Abstract: An image-based technique for shredded document reconstruction includes the steps of: employing an image processing process to obtain shred images of the shredded document, and then extracting several features of shred images for reconstruction with two similarity measures, and then employing an algorithm using the shred coding scheme and average word length that is insensitive to the shredding noise on image boundaries, and then a weighted digraph is then carried out to derive the optimal shred sorting result for document reconstruction in terms of the shortest path. Experiments are presented for both the synthetic and real data sets. The results show that the proposed method has correctly merged the majority of the shredded document.

Abstract: An apparatus and a method for measuring the depth of an object in a scene and a method for computing image defocus and blur status are provided. An image analysis unit receives a plurality of reference blurred images, analyzes the reference blurred images, produces reference grey-scale distribution data, where the reference blurred images corresponds to a plurality of reference depths, respectively. A blur comparison module produces a blur model according to the reference grey-scale distribution data and the corresponding reference depths. The image analysis unit receives a target blurred image, analyzes the target blurred image, and produces and transmits target grey-scale distribution data to the blur comparison module for comparing the target grey-scale distribution data according to the blur model, and producing depth information. Moreover, the present invention further produces the corresponding blur status data, used in defocus and blur computations, according to the defocused and blurred image.

Abstract: An image-based technique for shredded document reconstruction includes the steps of: employing an image processing process to obtain shred images of the shredded document, and then extracting several features of shred images for reconstruction with two similarity measures, and then employing an algorithm using the shred coding scheme and average word length that is insensitive to the shredding noise on image boundaries, and then a weighted digraph is then carried out to derive the optimal shred sorting result for document reconstruction in terms of the shortest path. Experiments are presented for both the synthetic and real data sets. The results show that the proposed method has correctly merged the majority of the shredded document.