An image processing apparatus according to this embodiment performs, based on a job setting, conversion of a pixel value of a partial region in an input original image into a predetermined value on image data of the original image, as needed. Subsequently, this image processing apparatus generates a histogram representing the density signal distribution of the image data of the original image or the converted image data. Note that if the above-described conversion is performed, this image processing apparatus corrects the generated histogram by subtracting, from a count of the predetermined number of the generated histogram, the number of sampling points counted in the above-described partial region when the histogram is generated.

An image processing apparatus according to this embodiment performs, based on a job setting, conversion of a pixel value of a partial region in an input original image into a predetermined value on image data of the original image, as needed. Subsequently, this image processing apparatus generates a histogram representing the density signal distribution of the image data of the original image or the converted image data. Note that if the above-described conversion is performed, this image processing apparatus corrects the generated histogram by subtracting, from a count of the predetermined number of the generated histogram, the number of sampling points counted in the above-described partial region when the histogram is generated.

Structural information can be accurately drawn even for a secondary image generated by using resampled image data and mask data. There is provided an image processing device including a mask data acquisition unit that acquires mask data obtained by defining a degree of drawing for each pixel of image data, a resampling processing unit that generates resampled image data by performing resampling processing on the image data, a resampled mask data generation unit that calculates an estimated value obtained by estimating pixel values of the resampled image data based on the mask data and pixels included in a predetermined local region of the image data to generate resampled mask data in which a mask value for each pixel of the resampled image data is determined based on the pixel values of the resampled image data and the estimated value, and an image generation unit that generates an image of a drawing target from the resampled image data and the resampled mask data.

Methods and systems for image binarization using mean restrain are disclosed. A method includes: obtaining, by a computing device, a grayscale image; generating, by the computing device, a histogram from the grayscale image; determining, by the computing device, a foreground mean value and a background mean value for each pixel value in the histogram; determining, by the computing device, a binarization threshold using the foreground mean values and the background mean values; and generating, by the computing device, a binarized image using the grayscale image and the binarization threshold.

A method is described in which a printed image which has been printed by a printer based on a printing template is repaired. A damaged area of the printed image is identified and a reprinting segment on the printed image is determined such as to overlap the identified damaged area. With the printer a layer of printing fluid is printed over the damaged image and a correction printing template is printed. The correction printing template includes a segment of the printing template that corresponds to the reprinting segment of the printed image.

The present invention provides an image data conversion device that can convert color image data to black-and-white image data suitable for a background image. One example embodiment of the present invention is an image data conversion device that represents color image data in gray scale to convert the color image data to black-and-white image data and that includes determination means for determining whether or not the black-and-white image data is data used for a background image; and image data conversion means for converting the color image data to black-and-white image data using brightness values ranging from a background image minimum brightness value to a maximum brightness value when the black-and-white image data is data used for a background image.

A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.

A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.

A data acquiring portion acquires a plurality of pieces of second data having different levels depending on amounts of light incident on the light reception portions upon reception of a specific linear light having a specific amount of light. A level acquiring portion acquires a maximum level and a minimum level from among the levels of the plurality of pieces of second data. A characteristic data storage portion preliminarily stores characteristic data that indicates levels of the plurality of pieces of second data. A light amount deriving portion executes a light amount deriving process to derive a set light amount of the linear light based on a threshold, the maximum level, the minimum level, and the characteristic data. A second light emission control portion causes the light emission portion to emit linear light having the set light amount.

A digital camera processing system with software to manage taking photos with a digital camera. Camera software controls the digital camera. A downloaded software component controls the digital camera software and causes a handheld mobile device to perform operations. The operations may include instructing a user to have the digital camera take photos of a check; displaying an instruction on a display of the handheld mobile device to assist the user in having the digital camera take the photos; or assisting the user as to an orientation for taking the photos with the digital camera. The digital camera processing system may generate a log file including a bi-tonal image formatted as a TIFF image.