This application relates to an image acquisition method and apparatus, a device, and a storage medium, and relates to the field of image processing technologies. The method includes obtaining a first image, the first image being an image acquired by controlling an exposure time of an image acquisition component according to a brightness reference value; obtaining an exposure state of the first image; updating the brightness reference value according to the exposure state of the first image, to obtain an updated brightness reference value; controlling the exposure time of the image acquisition component according to the updated brightness reference value; and acquiring a second image.

An image processing apparatus is equipped with: an image data receiving unit that receives image data; and a print data generating unit that generates multiple value data as print data by performing a halftone process on the image data and converting the image data into at least three values. The print data generating unit administers a halftone process that includes a density fluctuation suppressing process that results in the print data always including a zero value except for a case in which all of the pixels that constitute the image data are converted into a maximum value.

A method for recording an image. The method includes: detecting an area using a sensor and generating a map of the area having a predefined number of pixels, which indicate brightness values, and subdividing the map into blocks) having a predefined first size, creating an auxiliary map by scaling down the blocks to a predefined second size, which is smaller than the predefined first size, sorting the pixels of each block of the auxiliary map according to their brightness values, determining processing parameters for each block on the basis of the sorted pixels, with which the pixels of the associated block are processed in order to achieve a brightness maximization and/or a contrast maximization, interpolating a processing function from the processing parameters, and applying the processing function to the pixels of the map to generate the image.

A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.

A method for processing an image, an electronic device and a storage medium are provided. The method includes acquiring a first face image; extracting a face highlight area from the first face image, in which the face highlight area is an area having a brightness value not lower than a first predetermined brightness threshold in a face area of the first face image; obtaining a second face image by decreasing the brightness value of the face highlight area based on a predetermined highlight darkening parameter; obtaining a third face image by converting a color format of the second face image into a RGB color format and decreasing an intensity of each color channel of each pixel in the second face image, and obtaining a target face image by blending the third face image and the first face image.

An image scanner includes a conveyance path and a conveyor that conveys a medium through the conveyance path. The medium bears a detection mark that is spaced from a leading edge of the medium in a medium conveyance direction. A background member is disposed opposite the conveyance path. A luminance sensor is disposed opposite the background member via the conveyance path. The luminance sensor detects a luminance value of each of the background member and the medium. A controller controls the luminance sensor to detect the luminance value at a plurality of times while the conveyor conveys the medium so as to obtain a plurality of detected luminance values. The controller determines a ground color luminance value of a ground color area on the medium based on a determination range including a first peak luminance value among the plurality of detected luminance values.

Systems and techniques for automatic digital parameter adjustment are described that leverage insights learned from an image set to automatically predict parameter values for an input item of digital visual content. To do so, the automatic digital parameter adjustment techniques described herein captures visual and contextual features of digital visual content to determine balanced visual output in a range of visual scenes and settings. The visual and contextual features of digital visual content are used to train a parameter adjustment model through machine learning techniques that captures feature patterns and interactions. The parameter adjustment model exploits these feature interactions to determine visually pleasing parameter values for an input item of digital visual content. The predicted parameter values are output, allowing further adjustment to the parameter values.

An image processing device includes an image reader that reads an image, a first determiner that determines whether character crushing occurs when the image is binarized, a second determiner that determines a rate of a photographic region in the image, and a controller that performs conversion into monochrome N-gradation image data based on determination results of the first and second determiners.

The present disclosure relates to a processing arrangement for converting digital image data. Conventional approaches suffer from speed or non-ideal compressing schemes. These drawbacks are overcome by the processing arrangement for determining a digital output value from a digital input value based on a linear function and a square root function. The processing arrangement includes a first calculation block configured to determine a first output value of the linear function, a second calculation block configured to determine a second output value of the square root function. A selector is configured to select, based on a comparison between the digital input value and a threshold value, whether the digital output value is determined by the first calculation block or by the second calculation block.

A method for changing an image file based on a toning coefficient includes receiving an image file including an image having a plurality of pixels. Toning characteristic function is determined for each pixel of the received image. Distribution of the plurality of pixels of the received image is analyzed using the toning characteristic function. The toning coefficient of the received image is determined based on the analyzed distribution of the plurality of pixels. A degree of toning of the received image file is changed using a user specified criteria based on the determined toning coefficient.