Abstract: In one embodiment, a computing system may receive an image to be displayed on a display. The image may be associated with an input gamut and the display may be associated with an output gamut. The system may access a look-up-table that maps input colors to output colors. The output color of corresponding to each input color may be determined by adjusting a lightness of the input color according to a pre-determined tone curve while keeping the hue and chroma constant and (2) mapping the chroma to the output gamut of the display. The system may determine a final color for each pixel of the pixels of the image based on the look-up-table and an original color of that pixel. The system may display the final colors of the pixels on the display to represent the original colors of the image.

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: In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value.

Abstract: In an example method, an image of a printed document is descreened. The descreened image is separated into blocks. A smooth area of the descreened image is selected based on an averaging of localized color distance values of pixels in each of the blocks. A streak in a block of the smooth area is detected in response to detecting that a magnitude of a color distance projection of the block exceeds a threshold value.