Abstract: An example operation method of an image forming apparatus includes forming a test image with respect to a pattern used for diagnosing an image-quality state of a printout output by the image forming apparatus, obtaining a test signal corresponding to the test image via a sensor of the image forming apparatus, obtaining image-quality state information indicating an image-quality state of the test image based on the test signal corresponding, identifying a type of a screen corresponding to halftone information indicating a resolution of the printout based on the image-quality state information, and performing a first image forming operation according to the type of the screen.

Abstract: In some examples, a device includes a printing device to generate an image on a substrate from a digital image, and a processor to: receive a scanned image of the image on the substrate, identify a plurality of image portions of the scanned image, identify horizontal color changes across a horizontal portion of the plurality of image portions, identify vertical color changes across a vertical portion of the plurality of image portions, compare the horizontal color changes and vertical color changes to corresponding horizontal color changes and corresponding vertical color changes of the digital image, and measure a presence of color plane misregistration, and the color, direction and magnitude of misregistration based on the comparison.

Abstract: For each region of interest (ROI) type of a number of ROI types, ROIs of the ROI type within a reference image are compared to corresponding ROIs within a test image corresponding to the reference image and printed by a printing device. For each ROI type, a feature vector characterizing image quality defects within the test image for the ROI type is generated based on results of the comparing for the ROI type. Whether print quality of the printing device has degraded below a specified acceptable print quality level can be assessed based on the feature vectors for the ROI types.

Abstract: For each of a number of regions of interest (ROI) types, ROIs are extracted from a reference image based on an object map distinguishing symbol, raster, and vector objects within the reference image. Whether print quality of a printing device has degraded below a specified acceptable print quality level is assessed based on a comparison of the extracted ROIs within the reference image to corresponding ROIs within a test image corresponding to the reference image and printed by the printing device.

Abstract: An image forming apparatus is provided. The image forming apparatus includes an image former to change a transfer condition while printing a calibration chart in which patches of different colors are repeatedly arranged in a sub-scanning direction, a scanner to scan the printed calibration chart, and a processor to determine an image defect under each transfer condition using the scanned calibration chart, and to set a transfer condition of the image former based on the determined image defect.

Abstract: An image forming apparatus is provided. The image forming apparatus includes an image former to change a transfer condition while printing a calibration chart in which patches of different colors are repeatedly arranged in a sub-scanning direction, a scanner to scan the printed calibration chart, and a processor to determine an image defect under each transfer condition using the scanned calibration chart, and to set a transfer condition of the image former based on the determined image defect.

Abstract: A system, medium, and method calibrating gray data. The system calibrating gray data includes a transformation unit to transform red, green, and blue (RGB) data of a source device into transformed color data of a different color space using a color appearance model, and a calibration unit to map a chroma value of gray data, corresponding to the transformed color data, in the different color space to a predetermined value to generate calibrated color space data.

Abstract: An apparatus and method of calculating a resolution. The method of calculating a resolution includes selecting a region having an edge from a test chart, calculating a spatial frequency response (SFR) of an image forming device that has printed the test chart from the selected region, setting a frequency that corresponds to a principal SFR among the calculated SFRs of the image forming device as a principal frequency of the SFR of the image forming device, and judging the set principal frequency as the resolution of the image forming device.

Abstract: An apparatus, method and medium outputting a wide gamut space image in which one or more parameters that are needed to convert an existing color space into a wide gamut space are experimentally determined and then are applied to an image. The apparatus includes a feature extraction module to extract one or more feature differences between a standard gamut and a wide gamut of an image, a color range setting module to set a hue range according to the extracted feature differences and one or more experimentally determined parameters, and a conversion module to convert the image according to the extracted feature differences, the experimentally determined parameters, and the hue range.

Abstract: An image processing method of an image processing apparatus, the method includes: discerning pixels to be processed on the basis of a preset reference pixel value in a scanned image that comprises plural pixels; drawing a pixel area including the pixels to be processed from the scanned image on the basis of a preset condition; and selecting whether to apply an image process to the pixels to be processed or the drawn pixel area on the basis of a percentage of the pixels to be processed in the drawn pixel area.

Abstract: Provided is a technology which can prevent deterioration of image quality when enhancing resolution of a predetermined key frame in a video sequence. Specifically, an apparatus to enhance resolution of a video frame is provided. The apparatus includes a frame extraction unit which extracts a key frame and one or more neighboring frames of the key frame from a video sequence; an upsampling unit which upsamples the key frame and the neighboring frames; a motion-vector search unit which calculates a motion vector of the upsampled key frame using the upsampled neighboring frames as reference frames; and a key-frame estimation unit which enhances quality of the upsampled key frame using temporal information obtained from the motion vector and spatial information in the key frame.

Abstract: Provided is an image-resolution-improvement apparatus and method which can increase the resolution of an input image at a high magnification to thereby obtain a high-quality final image. The apparatus includes a textured-region-detection unit to detect a texture region in an input image; and a final-image-generation unit to synthesize a first intermediate image and a second intermediate image, which are obtained by applying different interpolation techniques to the texture region and a non-texture region excluding the texture region and generating a final image.

Abstract: A color image scanning system, method and medium that generates look-up tables for color data correction based on the type of printing paper and the kind of image on the printing papers, thereby improving color reproducibility upon scanning. A color image scanning system may include a storage unit to store look-up tables having correction values of first color data, obtained by scanning a first printing paper having a plurality of color patches, each of the look-up tables corresponding to a type of printing paper, and a final image generation unit to correct second color data, obtained by scanning a second printing paper, with reference to a look-up table of the look-up tables, the look-up table corresponding to the type of printing paper used by the second printing paper.

Abstract: A method and apparatus for adaptively filtering an input image are provided. The method includes dividing an input image into a plurality of color domains according to a distribution of colors in the input image, respectively calculating a plurality of filter coefficients for the color domains, and adaptively filtering the color domains using the respective filter coefficients. The apparatus includes a domain classification unit which divides an input image into a plurality of color domains according to a distribution of colors in the input image, a filter coefficient calculation unit which respectively calculates a plurality of filter coefficients for the color domains, and a filtering unit which respectively filters the color domains using the filter coefficients. Accordingly, it is possible to enhance picture quality by addressing the problem of limited texture representation capabilities of existing filtering methods and apparatuses especially for memory color domains.

Abstract: An image forming apparatus is provided. The image forming apparatus includes an output unit to output a density pattern, a detector to detect the output density pattern, a signal extraction unit to extract an image noise signal from at least two sensing areas of the detected density pattern, and a control unit to determine if image noise generated on the detected density pattern is one-dimensional noise or two-dimensional noise based on the extracted image noise signal.

Abstract: Disclosed are an apparatus and method for projecting images to prevent the distortion of images when images are projected on a colored projection screen.

Abstract: A method for tone calibration and an apparatus using the same are provided. The method for tone calibration includes outputting a reference patch of a predetermined color and a plurality of sample patches having different tone levels of constant intervals of the color, receiving an input of identification information of any one of the sample patches, and generating a lookup table, which is obtained by reflecting a distortion level of the reference patch, in accordance with the input identification information.

Abstract: An image processing method of an image processing apparatus, the method includes: discerning pixels to be processed on the basis of a preset reference pixel value in a scanned image that comprises plural pixels; drawing a pixel area including the pixels to be processed from the scanned image on the basis of a preset condition; and selecting whether to apply an image process to the pixels to be processed or the drawn pixel area on the basis of a percentage of the pixels to be processed in the drawn pixel area.

Abstract: Provided is an image-resolution-improvement apparatus and method which can increase the resolution of an input image at a high magnification to thereby obtain a high-quality final image. The apparatus includes a textured-region-detection unit to detect a texture region in an input image; and a final-image-generation unit to synthesize a first intermediate image and a second intermediate image, which are obtained by applying different interpolation techniques to the texture region and a non-texture region excluding the texture region and generating a final image.

Abstract: An apparatus and method of calculating a resolution. The method of calculating a resolution includes selecting a region having an edge from a test chart, calculating a spatial frequency response (SFR) of an image forming device that has printed the test chart from the selected region, setting a frequency that corresponds to a principal SFR among the calculated SFRs of the image forming device as a principal frequency of the SFR of the image forming device, and judging the set principal frequency as the resolution of the image forming device.