An electronic device is provided. The electronic device includes a camera, a communication interface, and a processor configured to capture an image of a background of a display device through the camera, to divide the captured image into a plurality of blocks, to compare a target gradation value with gradation values of the each of the plurality of blocks, to adjust the gradation values of the each of the plurality of blocks, and to transmit an image of which the gradation values are adjusted, to the display device through the communication interface, wherein the sizes of the plurality of blocks are identified based on a background pattern of the display device.

An image processing device, an image processing method, and an image processing program capable of appropriately correcting contrast even for an image in which the amplitude of the reflection rate differs for each local area of the image. An image processing device, including a signal intensity extraction unit configured to extract signal intensity of an input image; a peripheral region reference value calculator configured to calculate a peripheral region reference value based on the signal intensity of a peripheral region located around a small region of interest; and an emphasis degree determination unit configured to determine an emphasis degree of the signal intensity so as to increase the signal intensity of the small region, wherein the signal intensity is defined as a reflection rate in the input image input to the image processing device, the small region is defined as a region which is a part of the input image.

A contrast adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access and execute the instructions to: access an image with a plurality of pixels, wherein the pixels are corresponding to a plurality of intensity values; generate a histogram based on a distribution of the intensity values in a range from an intensity lower bound to an intensity upper bound; divide the histogram into four sub-histograms based on a median value of the intensity values; enlarge the four sub-histograms based on a predetermined parameter; remap the four sub-histograms to form a gamma curve based on a cumulative distribution function; and apply the gamma curve to pixels of another image.

A method, system and computer program product are configured to analyze an image of a vehicle to determine a characteristic of the vehicle, such as may be represented by or otherwise at least partially defined by the shadow cast by the vehicle. In the context of a method, information is received identifying a vehicle from a raster image and the pixel values of the raster image are evaluated to identify pixels having pixel values representative of a shadow associated with the vehicle. The method also modifies a representation of the shadow by modifying the pixel values of the pixels based upon a shape of the vehicle such that the representation of the shadow, as modified, has a shape corresponding to the shape of the vehicle. The method additionally determines a characteristic of the vehicle based upon the representation of the shadow, as modified, that is associated with the vehicle.

To provide an image processing device and an image processing method capable of controlling contrast of a diagnosed part without greatly changing the characteristic of the entire image, and improving the diagnosis efficiency, an image processing device 100 sets a search pixel range and a search region to search for a representative pixel value as reference upon emphasis on the contrast of a diagnostic image as image data of a diagnosis object, calculates the representative pixel value for emphasis processing based on the set search pixel value range and the search region, and generates an emphasized image where the contrast of the entire diagnostic image is emphasized with the representative pixel value as reference. Further, the image processing device 100 calculates an emphasis region as a region where the contrast is emphasized from differential information between the diagnostic image and the emphasized image, and generates a partially emphasized image as an image where the contrast of the emphasis region is emphasized.

In a console according to an embodiment, a control unit functions as a generation unit that generates a tomographic image from a plurality of projection images, which have been captured by a radiation detector at each of a plurality of imaging positions with different irradiation angles, with radiation sequentially emitted from each of the plurality of imaging positions, using a reconstruction process. In addition, the control unit functions as a derivation unit that derives the degree of enhancement as a parameter value used in a frequency enhancement process which is an example of image processing for a tomographic image, on the basis of the image analysis result of a projection image corresponding to an irradiation angle of 0 degrees. Furthermore, the control unit functions as a correction unit that corrects the parameter value according to image processing used in the reconstruction process and an image processing unit that performs the image processing on a tomographic image on the tomographic image using the corrected parameter value.

This invention is a system for remote medical imaging which uses conventional mobile devices (such as two smart phones) and/or augmented reality to calibrate attributes such as the size, color, and shape of a wound, injury, skin lesion, and/or tissue abnormality on a person's body. One of the mobile devices is placed near the wound, injury, skin lesion, and/or tissue abnormality and acts as a digital fiducial marker or color key to help calibrate the size, color, and/or shape of the wound, injury, skin lesion, and/or tissue abnormality.

Described herein is a system and method for performing eye tracking. One embodiment provides a system (100) including a camera (106) for capturing images of a vehicle driver's (102) eye and light emitting diodes (LEDs108 and 110) configured to selectively illuminate the driver's eye during image capture by the camera (106). A processor (118) is configured to process at least a subset of the captured images to determine one or more eye tracking parameters of the subjects eye and to determine one or more illumination characteristics of the images. A controller (120) is configured to send an LED control signal to the LEDs (108 and 110) to control the drive current amplitude and pulse time of the LEDs (108 and 110). The controller (120) selectively adjusts the drive current amplitude and/or pulse time based on the determined illumination characteristics of a previous captured image or images.

An image processing method and apparatus, an image device, and a storage medium are provided. The method includes: detecting key points of a first face image; determining a target region for malar fat pad region adjustment based on the key points; determining an adjustment parameter for a malar fat pad region based on the key points; and adjusting the target region based on the adjustment parameter to form a second face image.

Provided are an image processing apparatus and method. The image processing apparatus divides an image into a plurality of blocks, and enhances contrast in units of blocks by using a minimum value, a lower average value, an average value, an upper average value, and a maximum value of each block in the image.