An image processing device includes a modulation clock generator, a line synchronization signal generator, a line image sensor, and an image processor. The modulation clock generator is configured to generate the modulation clock by modulating a frequency of a reference clock at a predetermined modulation cycle. The line synchronization signal generator is configured to generate, on the basis of the modulation clock, a line synchronization signal whose line cycle varies from line to line. The line image sensor is configured to sequentially read an image of one line of a document at a timing corresponding to the line synchronization signal and to output image data. The image processor is configured to process the image data on the basis of the modulation clock.

An image processing apparatus includes a controller configured to execute: acquiring objective image data representing an objective image which includes a first character and a second character; analyzing first partial image data and specifying the first character in an image represented by the first partial image data; and generating processed image data representing a processed image which includes the first character and the second character by using the objective image data. The objective image data includes the first partial image data in a bitmap format which represents the image including the first character and second partial image data in a vector format which represents an image including the second character. The processed image data includes: first processed data representing an image including the first character; and second processed data representing an image including the second character.

There is provided an ink-deposition device suitable for depositing ink on a target surface and a printing system comprising the same. In operation in a printing system, the ink-deposition device can convert digital images into ink images on the target surface using pixel-masks and methods as disclosed herein. Advantageously, the ink-deposition device, the printing system comprising it and the methods of using the same can reduce or prevent the occurrence of some undesired ink-formations typically governed by the respective physical and/or chemical properties of the surface and ink being used or mitigate their effect on print quality. Application of the pixel-image mask yields a binary image that exhibits pixel-clusters with stochastically distributed centroids.

There is provided an ink-deposition device suitable for depositing ink on a target surface and a printing system comprising the same. In operation in a printing system, the ink-deposition device can convert digital images into ink images on the target surface using pixel-masks and methods as disclosed herein. Advantageously, the ink-deposition device, the printing system comprising it and the methods of using the same can reduce or prevent the occurrence of some undesired ink-formations typically governed by the respective physical and/or chemical properties of the surface and ink being used or mitigate their effect on print quality. Application of the pixel-image mask yields a binary image that exhibits pixel-clusters with stochastically distributed centroids.

In an image reading device, a controller is configured to perform: calculating a ratio between first and second reference data as evaluation data; designating a target light receiving element from a plurality of light receiving elements one by one sequentially; calculating average evaluation data of the target light receiving element by averaging the evaluation data of a second number of light receiving elements located at positions apart every predetermined distance equal to a length of a first number of consecutively arranged light receiving elements; setting an evaluation range of the target light receiving element by adding/subtracting a predetermined value to/from the average evaluation data; determining whether the evaluation data falls within the evaluation range; in response to determining that the evaluation data is out of the evaluation range, revising the second reference data of the target light receiving element; and generating correction data using the second reference data after revision.

An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.

For preferably reducing show-through in an image obtained by reading an original, an image processing apparatus: stores an index value for each of a plurality of mutually differing degrees of variation; obtains a degree of variation of signal values included in a region of interest of a predetermined size including a pixel of interest included in image data corresponding to the read image; obtains a value indicating a brightness of the region of interest; determines an amount of correction of a value of the pixel of interest using the obtained value and an index value corresponding to the obtained degree of variation; and corrects the value of the pixel of interest using the determined amount of correction.

A method, non-transitory computer readable medium and apparatus for generating an output image are disclosed. For example, the method includes receiving an image, applying a first filter, applying a second filter, calculating a difference between the image with the second filter that was applied and the image with the first filter that was applied and transmitting the difference to a sharpening module and a segmentation module to generate the output image.

A method, non-transitory computer readable medium and apparatus for generating an output image are disclosed. For example, the method includes receiving an image, applying a first filter, applying a second filter, calculating a difference between the image with the second filter that was applied and the image with the first filter that was applied and transmitting the difference to a sharpening module and a segmentation module to generate the output image.

A three-dimensional object detection has an image capturing device, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit, first and second foreign matter detection units and a controller. The image capturing device captures images rearward of a vehicle. The three-dimensional object detection unit detects three-dimensional objects based on image information. The three-dimensional object assessment unit assesses whether or not a detected three-dimensional object is another vehicle. The foreign matter detection units detect whether or not foreign matter has adhered to a lens based on the change over time in luminance values for each predetermined pixel of the image capturing element and the change over time in the difference between an evaluation value and a reference value. The controller outputs control commands to the other means to suppress the assessment of foreign matter as another vehicle when foreign matter has been detected.