An image processing apparatus, an imaging apparatus, an image processing method, and a non-transitory computer readable medium for storing an image processing program capable of controlling the brightness of a desired color in a captured image are provided. A brightness and color difference conversion processing unit generates a reference first brightness signal “Y1” and color difference signals “Cb and Cr” from color signals “R.sub.1, G.sub.1, and B.sub.1” of three primary colors after gamma conversion. A second brightness signal generation unit generates a second brightness signal “Y2” in which a value of a brightness signal corresponding to a target color is decreased with respect to the first brightness signal “Y1” from the color signals “R.sub.1, G.sub.1, and B.sub.1”. The brightness of the desired target color can be controlled according to the reference first brightness signal “Y1” and the second brightness signal “Y2”.

An adaptable eye artifact identification and correction method is disclosed. Eye artifacts are identified and classified based on color, severity, shape, eye location, and cause. Based on this classification, an eye artifact correction algorithm is selected from a series of eye artifact correction techniques. For minor artifacts, simple color correction techniques are deployed to restore the iris color and to drive the pupil to once again appear black. For severe eye artifacts face detection and metadata analysis are utilized to search the user's image collection for recent images of the subject without the eye artifact condition. Once located, these images provide eye color and shape information for use to replace the pixels expressing the eye artifact condition. The non-artifact eye images are used to provide the appropriate eye color and shape to correct the eye artifact condition for more severe eye artifacts.

An image processing apparatus configured to correct at least part of a face image has an image acquisition unit that acquires an input image, a region extraction unit that extracts a pupil region, which is a region corresponding to an eye of a person, from the input image, a pixel extraction unit that extracts a pixel from the pupil region whose brightness value is higher than a threshold value, a determination unit that determines, based on the result of extraction performed by the pixel extraction unit, whether or not halation has occurred in the pupil region, and a correction unit that performs, based on the result of determination performed by the determination unit, processing for correcting halation on the pupil region. The pixel extraction unit sets the threshold value based on a bias of a brightness distribution of the pixels included in the pupil region.

An image processing apparatus comprises an image acquiring unit configured to acquire a first image, which is an image including an eye; an image generating unit configured to generate a second image, which is a binary image representing an edge of the first image; a classifying unit configured to classify, based on presence or absence of the edge, pixels included in the second image; and a pupil-region generating unit configured to generate a pupil region, which is a region corresponding to a pupil in the first image, based on a classification result, wherein when pixels having a same value are present separately in a plurality of blocks in the second image, the classifying unit performs the classification of the pixels further based on areas of the blocks or luminance values of pixels in the first image corresponding to the blocks.

A control method of an information processing apparatus includes specifying a changed displayed content in a case where a displayed content on a display is changed, and displaying a predetermined item on the display, the predetermined item being an item based on the specified changed displayed content and being an item for performing a predetermined process using at least a part of the specified changed displayed content.

The present disclosure relates to an information processing device, an information processing method, and a program that enable appropriate imaging with the front camera of a smartphone or the like in the dark. A visible light image and an infrared light image are captured. A face image is recognized from the infrared light image, and images of respective organs are extracted from the face image. The images of the respective organs are corrected in accordance with each extracted organ, using the visible light image and the infrared light image. The corrected images of the respective organs are combined. The present disclosure can be applied to smartphones.

An image processing apparatus, an imaging apparatus, an image processing method, and a non-transitory computer readable medium for storing an image processing program capable of controlling the brightness of a desired color in a captured image are provided. A brightness and color difference conversion processing unit generates a reference first brightness signal Y1 and color difference signals Cb and Cr from color signals R.sub.1, G.sub.1, and B.sub.1 of three primary colors after gamma conversion. A second brightness signal generation unit generates a second brightness signal Y2 in which a value of a brightness signal corresponding to a target color is decreased with respect to the first brightness signal Y1 from the color signals R.sub.1, G.sub.1, and B.sub.1. The brightness of the desired target color can be controlled according to the reference first brightness signal Y1 and the second brightness signal Y2.

Predetermined processing is reliably performed on an image captured when a person serving as a photographic subject is photographed. When a person's face is detected in an image captured by an imaging section, a control section performs predetermined image processing on the captured image. If a person's face is not detected, the control section judges whether the predetermined processing is required to be performed on the captured image and, when judged that the predetermined processing is required to be performed, gives an instruction to perform the predetermine processing on the captured image.

The present disclosure relates to an information processing device, an information processing method, and a program that enable appropriate imaging with the front camera of a smartphone or the like in the dark.

A visible light image and an infrared light image are captured. A face image is recognized from the infrared light image, and images of respective organs are extracted from the face image. The images of the respective organs are corrected in accordance with each extracted organ, using the visible light image and the infrared light image. The corrected images of the respective organs are combined. The present disclosure can be applied to smartphones.

An image processing device includes a first and a second image processing module including an image processing unit, and a connection module that is connected to the first and second image processing modules, and moves an image data from one image processing module to the other image processing module. At least one of the image processing modules includes a weighted average processing unit that calculates, based on a weighting coefficient included in an attribute value, a weighted average of a pixel value of the input image data and a image processed pixel value, and an output unit which outputs at least one of the image processed pixel value and the weighted-averaged pixel value.