Abstract: The invention relates to a method for scanning originals using a scanner, for example a flatbed scanner, said method comprising the steps of: (i) performing a pre-scan using a scanner bed (2) of the scanner, said scanner bed (2) having an extension in the x-direction and in the y-direction, in order to measure an x-extension (4) between a smallest (4a) and a largest extension value (4b) in the x-direction and to measure a y-extension (6) between a smallest (6a) and a largest extension value (6b) in the y-direction in respect of each of the originals on the scanner bed (2), and creating scanning frames (R1, R2, R3, R4, R5, R6) associated with the originals from the respectively measured extension values, (ii) specifying the scanning frame (R1, R2, R3, R4, R5, R6) with the largest y-extension (6) as the leading frame (R4), (iii) defining as subsequent frames (R3, R5) those which are located with their y-extension within a section (10) of the scanning bed which is spanned in the y-direction by the smallest and t

Abstract: The invention relates to a method for scanning originals using a scanner, for example a flatbed scanner, said method comprising the steps of: (i) performing a pre-scan using a scanner bed (2) of the scanner, said scanner bed (2) having an extension in the x-direction and in the y-direction, in order to measure an x-extension (4) between a smallest (4a) and a largest extension value (4b) in the x-direction and to measure a y-extension (6) between a smallest (6a) and a largest extension value (6b) in the y-direction in respect of each of the originals on the scanner bed (2), and creating scanning frames (R1, R2, R3, R4, R5, R6) associated with the originals from the respectively measured extension values, (ii) specifying the scanning frame (R1, R2, R3, R4, R5, R6) with the largest y-extension (6) as the leading frame (R4), (iii) defining as subsequent frames (R3, R5) those which are located with their y-extension within a section (10) of the scanning bed which is spanned in the y-direction by the smallest and t

Abstract: The present invention relates to a method for an automatic alignment of digital image layers, implemented in specific software on a computing device (e.g. a personal computer (1)) which drives an image scanner (3) and aligns the multiple scanned image layers (25) in such a way, that of these layers (25) one resulting image (10) will be created, which has—by a statistical calculus based on multiple sampling and averaging of these multiple scanned image layers (25)—a decreased random distributed noise spectrum compared to single scanned images (25) and by the automatic alignment avoids a decrease in sharpness using statistical comparison of the multiple layers (25), especially deviation and cost functions, aiming to compensate a misalignment (6), e.g. mechanical mismatches of the scanner's (3) scanning carriage, between multiple scans (25).

Abstract: The present invention relates to a calibration target containing calibration data, the calibration data containing at least one color, for calibrating an imaging device for minimizing an individual color reproducing error of such a device. The inventive target comprises a pointer, preferably comprising a barcode, whereby the pointer contains information about reference data associated to the calibration target, the reference data containing information about the at least one color. The present invention further relates to methods and systems using such a target.

Abstract: The present invention relates to a method for an automatic alignment of digital image layers, implemented in specific software on a computing device (e.g. a personal computer (1)) which drives an image scanner (3) and aligns the multiple scanned image layers (25) in such a way, that of these layers (25) one resulting image (10) will be created, which has—by a statistical calculus based on multiple sampling and averaging of these multiple scanned image layers (25)—a decreased random distributed noise spectrum compared to single scanned images (25) and by the automatic alignment avoids a decrease in sharpness using statistical comparison of the multiple layers (25), especially deviation and cost functions, aiming to compensate a misalignment (6), e.g. mechanical mismatches of the scanner's (3) scanning carriage, between multiple scans (25).

Abstract: The present invention relates to a calibration target containing calibration data, the calibration data containing at least one color, for calibrating an imaging device for minimizing an individual color reproducing error of such a device. The inventive target comprises a pointer, preferably comprising a barcode, whereby the pointer contains information about reference data associated to the calibration target, the reference data containing information about the at least one color. The present invention further relates to methods and systems using such a target.