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 processing method acquires an image, restores a saturated region in which a pixel in the image has a first reference value based on a first illuminance component of the image, enhances a dark region in which a value of a pixel in the image is less than a second reference value based on the restored saturated region and the first illuminance component, and outputs a dark region-enhanced image.

In a method for dithering image data, a processor receives an input image in a first color space and a first bit depth larger than 8 bits. The processor converts the input image into a first image in a perceptually uniform color space, such as the BT. 2100 ICtCp color space, with pixel values scaled to be within a target bit depth, it quantizes the first image to generate a quantized image, it generates an error image between the first image and the quantized image, and using a random threshold, it generates a dithered image based on the random threshold, the error image, and the quantized image, allowing to reduce the bit-depth representation for visually consistent reproduction by two bits.

An image capturing control apparatus includes a detection unit configured to detect a specific object area in an image captured by an image capturing apparatus, an acquisition unit configured to acquire a first input/output characteristic of the image capturing apparatus, a conversion unit configured to convert the image by acquiring a second input/output characteristic that is an inverse input/output characteristic to the first input/output characteristic, and by applying the second input/output characteristic to the image, and a control unit configured to control exposure of the image capturing apparatus based on a luminance value of the specific object area in the converted image.

A method and system for tone-mapping an image includes determining a tone-curve based on a model of image contrast distortion between the input image and a tone-mapped image and tone-mapping the input image according to the determined tone-curve. Determining the tone curve includes analytically calculating values of the tone-curve that reduce the image contrast distortion within the model of image contrast distortion. A tone-mapping operator includes a noise model generator and a tone-mapping module operable to receive one or more contextual parameters. The tone-mapping module includes an edge-stopping filtering submodule for extracting a base layer and detail layer of the input image, a tone-curve generating submodule and a combining submodule for combining the base layer and detail layer. At least one of the edge-stopping filtering submodule, the tone-curve generating submodule and combining submodule is adjustable based on the contextual parameters.

A document processing system produces a digital representation of an original image by determining a background level for white space of the original image. Using the background level, the system identifies pixels not belonging to the white space. The system generates a binary image of the original image based from the identified pixels. The system then identifies image content surrounded by the white space in the original image using the binary image. Next, the system generates a block for each image content and extracts each block from the original image. After processing each block, the system reapplies the processed blocks to a blank canvas to generate the digital representation.

There is provided with an information processing apparatus. A first obtaining unit obtains data of a reference image indicating a target of printing output to be performed by a printing apparatus. A second obtaining unit obtains data of an image printed by the printing apparatus. A correcting unit corrects a local image density difference or the reference image based on a global image density difference between the reference image and the printed image. An evaluating unit evaluates quality of the printed image based on the local image density difference between the corrected reference image and the printed image.

An image processing apparatus, comprises: a detection unit configured to detect a predetermined region of an image from image data; and a correction unit configured to correct a value of luminance in the predetermined region detected by the detection unit. The correction unit corrects a high-frequency value out of a low-frequency value and the high-frequency value obtained from a luminance value of a pixel having a value of luminance higher than a predetermined threshold in the predetermined region so that a high-frequency contrast weakens.

The present application discloses various systems, methods and non-transitory computer-readable mediums that include a first device and a second device to perform processing on a digital image. According to one example, a second one or more edits made using the second device are user subjective and a first one or more edits made using the first device are user agnostic. The second one or more edits are reliant on the first one or more edits for processing flexibility to achieve a desired image attribute.

The disclosed technique is an image processing apparatus that corrects gradation values of monochrome data converted from color data, including correction unit configured to, in the case where there are three or more gradation values after conversion and there are a plurality of gradation value differences between adjacent gradation values arranged in order of magnitude, if there is a gradation value difference smaller than a prescribed threshold value among the plurality of gradation value differences, correct the gradation value difference smaller than the threshold value to increase in the range of the threshold value or smaller by reducing other gradation value differences adjacent to the gradation value difference smaller than the threshold value.