Patent classifications
H04N1/4095
IMAGE ACQUIRING APPARATUS AND METHOD AND IMAGE FORMING APPARATUS
Disclosed is an image acquiring method. The image acquiring method includes receiving an instruction to acquire a one-side image to acquire an image on a first side of a document; obtaining a penetrated image of the first side of the document, which is seen on the second side, with a second image sensor for obtaining an image on a second side of the document, while the document is being fed; obtaining an image on the first side of the document with a first image sensor for obtaining an image on the first side of the document, while the document is being fed; and processing the image on the first side based on the penetrated image of the first side.
Image reading device and image reading method
An image reading device includes a tray, a paper feed roller that conveys a sheet, a first sensor that detects a front end and a rear end of the sheet, a second sensor that detects the front end of the sheet, and a scanner that reads an image on a front side of the sheet and reads an image on a back side of the sheet. A controller determines a first time duration that elapses from the detection of the front end of the sheet by the first sensor to the detection of the rear end of the sheet by the first sensor and operates the scanner to read the image on the back side of the sheet over a second time duration equal in length to the first time duration. The second time duration begins after the front end of the sheet is detected by the second sensor.
IMAGE PROCESSING APPARATUS, METHOD OF CONTROLLING THE SAME, AND STORAGE MEDIUM
An image processing apparatus has a first color conversion unit that converts a signal value at an achromatic grid point in a first color space among achromatic grid points in a color space, the signal value being closer to white than a first predetermined signal value, into a signal value that is even closer to white, and a second color conversion unit that converts a signal value at a grid point among grid points in the color space, the signal value being closer to white than a second predetermined signal value, into white are provided. The image processing apparatus converts a signal value of an input image using the first color conversion unit, and thereafter converting the signal value using the second color conversion unit.
Image forming apparatus and image forming method have print function to prevent see-through
Provided is an image forming apparatus that can keep the character of a concealing area secret certainly even if it makes low the printing rate of a see-through preventive image. A concealing area specifying part specifies the concealing area that includes a concealing character string in the print data. A character discriminating part discriminates character attribute of the concealing character string. A see-through preventive image generation part sets the see-through preventing area where shape and a size are the same as the concealing area. Also, see-through preventive image generation part generates a see-through preventive image where multiple characters having the character attribute discriminated by the character discriminating part are generated at random. A printing part prints the see-through preventive image in the position piled up by the same direction for the concealing area at the time of enclosure.
Image processing apparatus, method, and medium to perform image smoothing and brightness correction to remove show through
An image processing method includes reading a document on which a halftone-processed image is printed, performing smoothing processing on image data acquired by reading the document, setting a target region of a predetermined size to the smoothed image data and then calculating a degree of variation in signal values of a plurality of pixels included in the target region, determining a brightness correction amount for the target region based on the calculated degree of variation and the signal values of the plurality of pixels included in the target region, and performing brightness correction on the target region in the image data acquired by reading the document, based on the determined brightness correction amount.
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
An image processing apparatus includes a first correction amount acquiring unit and a first correction unit. The first correction amount acquiring unit acquires a first luminance correction amount of each block based on the luminance of each pixel in the block obtained by diving a first image among multiple processing target images obtained by imaging a target object with multiple sheets bound together while opening the target object. The first correction unit corrects the luminance of each pixel in the multiple processing target images based on the first luminance correction amount of each block acquired by the first correction amount acquiring unit.
System and method for producing seesaw gloss effect and recording medium with seesaw gloss effect
A system and method render see-saw scalable gloss effect image patterns on a recording medium by using to two colors to provide one region with a relatively smooth surface, while a second region has a relatively rougher surface. A third region is added composed of a color different than the first two, wherein the third region has a relatively smooth surface where it intersects with the first region and a relatively rougher surface where it intersects with the second region. As the rendered recording medium is tilted at different angles, the image patterns thereon toggle to create a see-saw effect.
IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY RECORDING MEDIUM
An image forming apparatus includes: a scanner to read a document to obtain first read data; and circuitry to acquire a training condition relating to the first read data, generate training data including the first read data and the training condition to be used for training processing based on machine learning, and perform show-through correction on second read data read by the scanner, using a trained model generated by the training processing using the training data.