An image forming apparatus includes an image processor and an image forming unit. The image processor performs a correction process that corrects first image data corresponding to a first color and second image data corresponding to a second color. The image processor performs the correction process by causing, on the basis of a medium color of a recording medium, a first edge of a first image that is in the first image data and a second edge of a second image that is in the second image data to be away from each other. The second edge corresponds to the first edge. The image forming unit forms the first image and the second image in this order on the recording medium, on a basis of the first image data and the second image data that are corrected by the image processor.

In a case where a sample color is outside a color reproduction range of an image forming apparatus, there arises an issue that an adjustment target color cannot be brought close to a user-desired color. An image forming apparatus includes a generation unit configured to cause a printing unit to print a plurality of colors close to an acquired sample color and generate a color conversion table based on a user-selected color among the plurality of printed colors in a case where it is determined that the acquired sample color is outside a color reproduction range of the image forming apparatus, whereas in a case where it is determined that the acquired sample color is not outside the color reproduction range, the generation unit generates a color conversion table without causing the printing unit to print the plurality of colors close to the sample color.

A method for correcting tone-level non-uniformities in a digital printing system includes printing a test target having a set of uniform test patches. The printed test target is automatically analyzed to determine tone-level errors as a function of cross-track position for each of the test patches. A tone-level correction function is determined and represented using a set of one-dimensional feature vectors which specifies tone-level corrections as a function of cross-track position, pixel value and time. Corrected image data is determined by using the tone-level correction function to determine a tone-level correction value for each image pixel responsive to the input pixel value, cross-track position and time. The corrected image data is printed using the digital printing system to provide a printed image with reduced tone-level errors.

In this print method, assuming that the number of stacking of ink layers in a thickest portion in a thickly-piled portion is N, in a histogram preparation step ST2, a histogram of luminance values of grayscale image data prepared in an image data preparation step ST1 is prepared, and in luminance value range setting steps ST3 to ST10, a luminance value of predetermined gradations of the histogram is divided into N and N luminance value ranges are set. In the luminance value range setting steps ST3 to ST10, a division position of the luminance value of the predetermined gradations is adjusted while the histogram displayed on a predetermined display is checked.

A method of determining multi-level printing parameters for a printing device includes identifying printing parameters for each of multiple colorant levels; providing at least one density measurement at a known coverage for each colorant level; providing an aim curve relating input tone value to printed density value; and identifying multiple test parameter sets. The method further includes, for each of the test parameter sets at each of multiple input tone values, determining a printed density value based on the parameters of the test parameter set and the density measurements, and determining an error value from differences between the determined printed density values and the aim curve. The method also includes selecting one of the test parameter sets using the determined error values; and communicating the selected one of the plurality of test parameter sets for receipt by the printing device for printing documents. Systems and software can employ the method.

Based on a histogram of saturation of an input video, a saturation conversion function is determined, and, referring to the determined saturation conversion function, the saturation of each pixel of the input video is converted. Alternatively, a saturation conversion coefficient determination function is generated from the histogram, a saturation conversion coefficient is determined from the saturation conversion coefficient determination function and the saturation, and color differences are multiplied by the determined saturation conversion coefficient. Regardless of what saturation distribution the input video has, the saturation can be properly enhanced, and at the same time a high gradation expression can be obtained.

An image processing apparatus having a generation unit configured to generate an aligned image by arranging a plurality of candidate images extracted from a reference image around a work inspection image extracted from an inspection target image; a unit configured to subject the aligned image to similar region extraction processing to represent a similarity between regions in the aligned image; a determination unit configured to select a candidate image and determine it as a work reference image based on the aligned image after being subjected to the similar region extraction processing; and a comparison unit to compare the work inspection image with the work reference image. The similar region extraction processing subjects each of a plurality of division regions obtained by dividing the aligned image based on predetermined division size and phase, to averaging processing, and then adds the results of the averaging processing that are obtained by varying at least one of the division size and phase.

In a pixel of a part where two objects are superimposed, pixel values of the objects are compared to thereby set an attribute of the pixel to an attribute of one of the objects.

Disclosed in an embodiment of the present invention is an image dynamic range adjustment method, the method comprising: decoding a to-be-adjusted image selected by a user into YUV data; performing regional partition on the to-be-adjusted image according to a predetermined division policy and the YUV data, and obtaining a Y component reference value corresponding to at least one region; adjusting the YUV data corresponding to each region of the at least one region according to an adjusting coefficient, to obtain the adjusted YUV data of each of the regions, the adjusting coefficient being obtained on the basis of the Y component reference value; obtaining the image after the dynamic range adjustment on the basis of the adjusted YUV data. Also disclosed in the embodiment of the present invention are a terminal and a storage media.

A driver assistance system has a periphery monitoring device, a drive recorder, and an illuminance detecting section. The periphery monitoring device includes an imaging section that is mounted at a vehicle and captures images of a vehicle periphery, a memory, a processor that is coupled to the memory and that serves as a color tone correction processing section that corrects color tone of an image captured by the imaging section, and a display portion that displays an image having color tone that has been corrected by the color tone correction processing section. The drive recorder includes the imaging section, the memory, the processor that serves as the color tone correction processing section, and a recording section that records an image having color tone that has been corrected by the color tone correction processing section. The processor is configured so as to, in case in which an illuminance that is detected by the illuminance detecting section at a time of imaging by the imaging section is less than a predetermined reference value, correct color tone of an image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is dark as compared with color tone correction that is executed for display at the display portion, and, in a case in which the illuminance that is detected by the illuminance detecting section at the time of imaging by the imaging section is greater than or equal to the predetermined reference value, correct the color tone of the image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is bright as compared with color tone correction that is executed for display at the display portion.