A mobile terminal including a camera having an image sensor; a memory; a display; and a controller configured to synthesize first image data generated by a first exposure and second image data generated by a second exposure, store a log image in the memory obtained by applying a log profile to the synthesized image data in a first mode, and display a first image on the display obtained by transforming the log image in a second mode. Further, the controller controls the first exposure and the second exposure based on first exposure information corresponding to an average brightness information and a maximum brightness information of the synthesized image data.

Input color values corresponding to an input image are received; a color space of the input color values is converted to an LMS color space with three elements, the three elements including a long wavelength (L) element, a medium wavelength (M) element, and a short wavelength (S) element; color values in the LMS color space are grouped into a plurality of groups based on color vision information, each of the groups including color values determined as approximate based on the color vision information; and lightness of color values included in each of the groups is adjusted and an image output device is instructed to apply said adjusted lightness of color values to said input image.

Systems and methods are disclosed for non-linear color correction. The method including receiving an input image from an image sensor, converting the input image from a red, green, blue (RGB) color space format to an alternate color space format, determining localized hue correction parameters for a selected color in the alternate color space, determining localized saturation correction parameters for a selected hue in the alternate color space, applying the localized hue correction parameters and the localized saturation correction parameters to the input image to generate an output image and storing, displaying, or transmitting the output image based on at least the localized hue correction parameters and the localized saturation correction parameters.

Techniques to improve edge detection in images. Some techniques include logic to process image data into patched image data in accordance with a colorspace model where the patched image data includes color data in a plurality of patches and identify an image group corresponding to the patched image data. The logic may be further configured to select, based upon the image group, a colorspace transform mechanism being operative to transform the image data into transformed image data in accordance with another colorspace model, the other colorspace model having a higher likelihood than the colorspace model at edge detection for the image group. The logic may be further configured to apply the colorspace transform mechanism to the image data to generate the transformed image data in accordance with the other colorspace mode and then, apply an edge detection technique to the transformed image data. Other embodiments are described and claimed.

A monitoring device includes circuitry to compare a printed output with a reference representing a target output and to determine potential defects in the printed output based on the comparison. The monitoring device further includes and circuitry to implement a convolutional neural network to classify each potential defect as a true defect or a false alarm.

According to an embodiment, an image processing apparatus includes a display device and a processor. The display device displays a first image corresponding to first image data based on a document to be adjusted, and a second image corresponding to second image data based on a document for comparison. The processor creates a first conversion table by calculating a color value defined in a first color space and corresponding to a first position specified in the displayed first image, and a color value defined in the first color space and corresponding to a second position specified in the displayed second image.

A computer is caused to execute processing of transforming a first color information indicating a first color in a first color space into a second color information in a second color space which is an opponent color space different from the first color space, according to a type of a color vision and a color vision strength indicating a degree of the color vision; calculating, in the second color space, a third color information having a predetermined color difference with respect to the transformed second color information; and transforming the calculated third color information into a fourth color information indicating a second color in the first color space, according to a type of a color vision and a color vision strength indicating a degree of the color vision.

An image data generating method of generating an image from a document includes acquiring, based on light reflected by the document, a first image signal corresponding to a plurality of components in a plurality of visible wavelength ranges and a component having a reflection absorption characteristic in an invisible wavelength range, converting the first image signal into a second image signal including a plurality of device-independent color space components and a black component, and generating image data based on the second image signal.

The described methods, systems, and computer program products enable media composition editors to tag compositional objects with editorial rendition rules that specify how rendering decisions are to be made and how source media assets are to be selected and processed to generate an output rendering of a media composition that adheres to the editor's rendition-related choices. The editorially-specified rendition rules include spatial-type rules, temporal-type rules, and color-type rules, and generally pertain to the spatial, temporal, and color ranges and resolutions to be included within a rendition. When a rendition of a media composition is to be generated, a rendition engine interprets and applies the editorial rendition rules to generate and output the rendition in accordance with rendition parameters supplied to the rendition engine by a rendition profile, and, in some cases, by the media composition and the source media assets.

An information processing apparatus includes an acquisition unit that acquires a designated color which is designated as a color, which is converted into a specific color, of a pixel among pixels which express an image, a determination unit that determines whether or not a common color area, which is expressed by pixels in a common hue range, expresses prescribed information in the image, and a conversion unit that performs a first conversion process of converting a pixel corresponding to the acquired designated color into a specific color in the common color area which is determined to express the information, and performs a second conversion process of converting a pixel corresponding to a color in a wider hue range than the designated color into a specific color in the common color area which is determined to not express the information.