Abstract:
A hierarchical motion deblurring method for a single image is provided. In the method, a blur kernel of a target image is calculated and a multi-scale representation for representing the target image and the blur kernel is constructed. Then, a gradient attenuation function and a strong edge suppression function are applied to a residual Richardson-Lucy algorithm, so as to iteratively calculate a residual image between the blur kernel and the target image represented by the representation in each scale and restore the residual image to obtain a first restored image and a second restored image. Finally, the two restored images are compared so as to obtain a motion deblurring image.
Abstract:
A hierarchical motion deblurring method for a single image is provided. In the method, a blur kernel of a target image is calculated and a multi-scale representation for representing the target image and the blur kernel is constructed. Then, a gradient attenuation function and a strong edge suppression function are applied to a residual Richardson-Lucy algorithm, so as to iteratively calculate a residual image between the blur kernel and the target image represented by the representation in each scale and restore the residual image to obtain a first restored image and a second restored image. Finally, the two restored images are compared so as to obtain a motion deblurring image.
Abstract:
An image vibration-compensating apparatus and a method thereof are provided. The apparatus and the method are applied in an image-capturing apparatus, such as a digital still camera (DSC) or digital video recorder (DVR), for compensating image vibration when capturing an image. The image vibration-compensating apparatus comprises an adaptive edge extractor, a sub-region movement detector, a frame motion calculator, and a correcting vector generator. The image vibration-compensating apparatus analyses the difference between the current image and the previous image, and outputs the correcting motion vector to achieve the function of image vibration-compensation. In the image vibration-compensating method, an accumulate compensation mode is used to prevent fast motion of an image frame which will cause discomfort of the user's eyes when a relatively large image vibration occurs in a short period.
Abstract:
A motion detection method for a display device includes the steps of capturing images from a position on the display device to generate a plurality of capture images, calculating a moving status of the display device according to the plurality of capture images, and adjusting a display range of the display device relative to an image data according to the moving status.
Abstract:
A blind image restoration method restores a motion blurred image and a blur kernel is estimated based on an intrinsic bi-level image region of the motion blurred image. In addition, the blur kernel is iteratively estimated. When the blur kernel is iteratively estimated, bi-level image priors are introduced to achieve better image restoration.
Abstract:
An image vibration-compensating apparatus and a method thereof are provided. The apparatus and the method are applied in an image-capturing apparatus, such as a digital still camera (DSC) or digital video recorder (DVR), for compensating image vibration when capturing an image. The image vibration-compensating apparatus comprises an adaptive edge extractor, a sub-region movement detector, a frame motion calculator, and a correcting vector generator. The image vibration-compensating apparatus analyses the difference between the current image and the previous image, and outputs the correcting motion vector to achieve the function of image vibration-compensation. In the image vibration-compensating method, an accumulate compensation mode is used to prevent fast motion of an image frame which will cause discomfort of the user's eyes when a relatively large image vibration occurs in a short period.