Abstract: An embodiment of an integrated scanner apparatus, includes a support surface for objects to be scanned, a scanner unit to perform a scanning movement relative to the support surface to capture images of portions of objects to be scanned, and a printer unit carried by a carriage mobile with respect to said support surface, wherein said scanner unit is carried by said carriage carrying said printer unit to be imparted said scanning movement by said carriage.

Abstract: A method of processing digital images by transforming a set of pixels from a three-dimensional space to a normalized two-dimensional space, determining a membership class and membership class level of each pixel in the set of pixels, and selectively modifying colors of pixels in the set of pixels based on the determined membership classes and membership class levels.

Abstract: A method of processing and device configure to process digital images to enhance image quality and correct motion blur. A number N of images of a scene are captured with an exposure time T. An order of sharpness of the images is determined and the sharpest image is used as a reference image for generating an output image.

Abstract: A method of processing digital images by transforming a set of pixels from a three-dimensional space to a normalized two-dimensional space, determining a membership class and membership class level of each pixel in the set of pixels, and selectively modifying colors of pixels in the set of pixels based on the determined membership classes and membership class levels.

Abstract: An embodiment of an integrated scanner apparatus, includes a support surface for objects to be scanned, a scanner unit to perform a scanning movement relative to the support surface to capture images of portions of objects to be scanned, and a printer unit carried by a carriage mobile with respect to said support surface, wherein said scanner unit is carried by said carriage carrying said printer unit to be imparted said scanning movement by said carriage.

Abstract: A digital image processing system and method for removing motion effects from images of a video sequence, and generating corresponding motion compensated images.

Abstract: A method is provided for obtaining an image with a large dynamic range. An image is acquired such that each image pixel is represented by a plurality of values obtained at the same time but for different integration levels (effective exposures). For each pixel, a representative value is selected among those available, such that it is neither saturated nor blackened.

Abstract: A method of processing digital images to reduce the effects of color bleeding. Chrominance components for pixels in a working window are determined and weights are assigned to the pixels in the working window. A chrominance correction for a center pixel in the working window is generated based on the chrominance components and the assigned weights. Fuzzy variables and thresholds may be applied to generate the assigned weights and the chrominance correction.

Abstract: A luminance intensity of pixels of an input digital image is corrected for generating a corrected digital image. A luminance of each pixel is calculated as a function of the luminance of a corresponding pixel in an original image according to a parametric function. A mask of the input digital image to be corrected is generated according to a bilateral filtering technique. For each pixel of the input digital image, a respective value of at least one parameter of the parametric function is established based upon the luminance of a corresponding pixel of the mask.

Abstract: A digital image processing method includes extracting chromatic information of an image taken by an image taking device and related to a human subject; detecting visually interesting regions; and exposure correcting of the taken image by normalizing a grey scale of the taken image based on the visually interesting regions. Advantageously, the method includes recognizing areas corresponding to the skin of the subject, these areas being used as the visually interesting regions for the exposure correction step.

Abstract: A method of processing and device configure to process digital images to enhance image quality and correct motion blur. A number N of images of a scene are captured with an exposure time T. An order of sharpness of the images is determined and the sharpest image is used as a reference image for generating an output image.

Abstract: A digital image processing system and method for removing motion effects from images of a video sequence, and generating corresponding motion compensated images.

Abstract: A method of processing digital source images, each represented by pixel matrices, to obtain from two or more source images, representing one and the same real scene and acquired by utilizing different exposure levels, a final digital image capable of reproducing the real scene with an exposure latitude greater than that of each of the source images. The method, which can be advantageously used in digital still cameras, produces the final image by combining the source images with the help of a weighted average constructed pixel by pixel. Thanks to a special filtering to which the weighting coefficients are subjected before the weighted mean operation, the method obtains a final image in which the source images are harmoniously combined with each other.

Abstract: A method of processing digital video signals produced by a sensor that are to be presented on a viewfinder, the method involving: a first pair of processing operations for scaling and color interpolation; and a second pair of processing operations for the formation of a color matrix and for white balancing. The operations of at least one, and preferably of both of the pairs of processing operations are executed in a single step. The operation of white balancing is moreover performed only for one frame out of K frame in the frame sequence. The preferential application is in the construction of viewfinders for videocameras and digital still cameras.

Abstract: In the method, the membership image is produced through a multi-stage process that contemplates a first punctual classification stage generating a rough membership image, followed by a low-pass filtering of regionalization of the image through a down-sampling of the image followed by an up-sampling of the image, and in a further step of merging the regions that overcomes the superposition effects induced by the low-pass filtering operation. The so generated membership image contains semantic information of the input image that may be used for effectively implementing an adaptive correction/improvement of the color of the input image. For an adaptive correction/improvement of the color, the encoded data of the generated membership image is fed in parallel to the data of the real image to an adaptive modification block of the color of the image pixels.

Abstract: A method is provided for obtaining an image with a large dynamic range. An image is acquired such that each image pixel is represented by a plurality of values obtained at the same time but for different integration levels (effective exposures). For each pixel, a representative value is selected among those available, such that it is neither saturated nor blackened.

Abstract: A method of processing digital images to reduce the effects of color bleeding. Chrominance components for pixels in a working window are determined and weights are assigned to the pixels in the working window. A chrominance correction for a center pixel in the working window is generated based on the chrominance components and the assigned weights. Fuzzy variables and thresholds may be applied to generate the assigned weights and the chrominance correction.

Abstract: A method of processing digital images by transforming a set of pixels from a three-dimensional space to a normalized two-dimensional space, determining a membership class and membership class level of each pixel in the set of pixels, and selectively modifying colors of pixels in the set of pixels based on the determined membership classes and membership class levels.

Abstract: A digital image processing method includes extracting chromatic information of an image taken by an image taking device and related to a human subject; detecting visually interesting regions; and exposure correcting of the taken image by normalizing a grey scale of the taken image based on the visually interesting regions. Advantageously, the method includes recognizing areas corresponding to the skin of the subject, these areas being used as the visually interesting regions for the exposure correction step.

Abstract: A luminance intensity of pixels of an input digital image is corrected for generating a corrected digital image. A luminance of each pixel is calculated as a function of the luminance of a corresponding pixel in an original image according to a parametric function. A mask of the input digital image to be corrected is generated according to a bilateral filtering technique. For each pixel of the input digital image, a respective value of at least one parameter of the parametric function is established based upon the luminance of a corresponding pixel of the mask.