A method for color correction of an image includes generating a plurality of gain modules for an image scanning device, where each gain module of the plurality of gain modules includes a ratio of a maximum light intensity and a scanned white intensity. The method may further include generating a plurality of color correction modules, wherein each color correction module is associated with a respective gain module. Responsive to receipt of instructions to perform a scan of a document, the method may include identifying a color correction module of the plurality of color correction modules to apply and applying the identified color correction module to an image of the scanned document.

An abnormal-pixel detecting device includes an image sensor and an image processor. The image sensor is configured to capture an image of a subject. The image processor is configured to calculate: a ratio between a first plurality of pixel values captured by the image sensor and a second plurality of pixel values whose reference position is shifted relative to the first plurality of pixel values in a main scanning direction to obtain a third plurality of pixel values; and detect an abnormal pixel in the third plurality of pixel values.

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 minimum luminance value of a display luminance information is larger than a minimum luminance value of a print luminance information. And in a conversion, a luminance value of a dark region of input image data is converted to a luminance value of a dark region of output image data such that a contrast of a dark region that includes the minimum luminance value of the print luminance information becomes closer to a contrast of a dark region that includes the minimum luminance value of the display luminance information.

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.

An image forming apparatus comprises an image forming unit; a sensor that measures a measurement image; and a controller. The controller controls the image forming condition based on a measurement result of measuring a first measurement image; acquires information having a correlation to density variation of images to be formed by the image forming unit; controls the image forming condition based on the information; determines a first value regarding a density of an image to be formed, based on a measurement result of measuring a second measurement image; determines a second value regarding a density of the image to be formed by the image forming unit, based on the information; and controls a timing at which the image forming unit next forms the first measurement image, based on the first value and the second value.

An image processing apparatus (100) includes a determination unit configured to determine, on the basis of color information of a detected writing target, color information of an output image generated from a writing content image that is an image of a writing content written on the writing target.

A method and a system for image correction are provided. The system includes an image processor that performs the method for image correction when receiving an input image. In the method, an overexposed area within the image is determined. The channel values of pixels in the overexposed area are applied with corresponding weights. An automatic white balance process is performed on the channel values of pixels in the overexposed area according to an expectation of low saturation in the overexposed area. Besides a first channel value of each of the pixels, a second channel value and a third channel value of the pixel can be estimated according to the channel values of periphery pixels. A correction value overexposed of the first channel value of the current pixel can be calculated according to the corresponding weights of the pixels in the overexposed area.

For obtaining good quality luminance dynamic range conversion, we describe an image color processing apparatus (200) arranged to transform an input color (R,G,B) of a pixel of an input image (Im_R2) having a first luminance dynamic range into an output color (Rs, Gs, Bs) of a pixel of an output image (Im_res) having a second luminance dynamic range, which first and second dynamic ranges differ in extent by at least a multiplicative factor 1.5, comprising: a maximum calculation unit (201) arranged to calculate the maximum (M) of at least three components of the input color; a brightness mapper (202) arranged to apply a function (F) to the maximum, yielding an output value (F(M)), whereby the function is predetermined having a constraint that the output value for the highest value of the maximum (M) cannot be higher than 1.0; a scaling parameter calculator (203) arranged to calculate a scaling parameter (a) being equal to the output value F(M)) divided by the maximum (M); and a multiplier (204) arranged to multiply the three color components of the input color (R,G,B) by the scaling parameter (a), yielding the color components of the output color, wherein the color processing apparatus (200) comprises at least one component multiplier (303) arranged to multiply a component (B) of the input color with a weight (wB) being a real number yielding a scaled component (Bw) prior to input of that component in the maximum calculation unit (201).

Provided are a brightness compensation method and device, and a computer storage medium. The method includes: dividing a captured picture into a preset number of blocks; determining depth of field information of an image in each block; and performing division block brightness compensation on the picture according to the determined depth of field information. The present invention solves the problem in the prior art of poor capturing quality, and thereby achieves the effect of improving capturing quality.