An image data processing method includes receiving, from an image sensor, frame image data of a frame at a first resolution, reducing a resolution of the frame image data to a second resolution, performing image recognition on the frame image data to determine one or more regions of interest (ROI) and a priority level of each of the one or more ROIs, and extracting portions of the frame image data corresponding to the one or more ROIs. The method further includes modifying a resolution of the portions of the frame image data corresponding to the one or more ROIs based on the priority level of the ROIs, and combining the resolution-modified portions of the frame image data corresponding to the one or more ROIs with the frame image data at the second resolution to generate output frame image data.

The present disclosure provides a hybrid framework-based image bit-depth expansion method and device. The invention fuses a traditional de-banding algorithm and a depth network-based learning algorithm, and can remove unnatural effects in an image flat area whilst more realistically restoring numerical information of missing bits. The method comprises the extraction of image flat areas, local adaptive pixel value adjustment-based flat area bit-depth expansion and convolutional neural network-based non-flat area bit-depth expansion. The present invention uses a learning-based method to train an effective depth network to solve the problem of realistically restoring missing bits, whilst using a simple and robust local adaptive pixel value adjustment method in an flat area to effectively inhibit unnatural effects in the flat area such as banding, a ringing and flat noise, improving subjective visual quality of the flat area.

An image processing method and a display apparatus therefor are provided. The display apparatus includes a display, a communicator that communicates with an external device; a memory storing one or more instructions; and a controller including a processor for executing the one or more instructions stored in the memory. The processor is configured to execute the one or more instructions to receive an image from the external device, obtain information about a first distance corresponding to a distance between a front surface of the display apparatus and a wall, and, when the image is displayed on the display, apply a shadow effect to one or more of sides of the image based on the information about the first distance.

There is provided an image capturing apparatus. A first image is obtained by taking a shot without causing any of N light emission apparatuses (N2) to emit light. N second images are obtained by taking shots respectively at the times of light emissions by the N light emission apparatuses which are caused to perform the light emissions one at a time. A generating unit generates a plurality of third images including N difference images, each difference image corresponding to a difference between respective one of the N second images and the first image, and M composite images (M1) corresponding to M compositing patterns at which two or more of the N difference images are composited. A selection unit selects one of the plurality of third images.

Methods and apparatus for enhancing optical images and parametric databases are disclosed. In an exemplary embodiment, a method includes identifying an image and deconstructing the image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis. The method also includes modifying the frequency-based spatial domain representation to generate a modified frequency-based spatial domain representation, reconstructing an enhanced image from the modified frequency-based spatial domain representation, and returning the enhanced image. In an exemplary embodiment, an apparatus includes a deconstructor that deconstructs an image into a frequency-based spatial domain representation utilizing a pyramidal data structure including a plurality of levels on a frequency-by-frequency basis and a modifier that modifies the frequency-based spatial domain representation to generate a modified representation. The apparatus also includes a reconstructor that reconstructs an enhanced image from the modified representation and returns the enhanced image.

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.

There is provided an information processing apparatus capable of presenting an object that is easy to be in a fusion state where connection is natural regardless of a distance, an information processing method, and a recording medium. In the information processing apparatus, a left-eye image and a right-eye image are output to acquire position information of an object in a depth direction to be perceived by a user, and a luminance correction region to be subjected to luminance correction is set to at least one of a first display region that is included in a display region for the left-eye image and overlaps a display region for the right-eye image, or a second display region that is included in the display region for the right-eye image and overlaps the display region for the left-eye image on the basis of the position information. The present technology can be applied to, for example, a transmissive HMD.

The image processing apparatus according to one embodiment of the present invention has: an acquisition unit configured to acquire a first image captured with a first amount of exposure, a second image captured with a second amount of exposure different from the first amount of exposure before the first image is captured, and a third image captured with the second amount of exposure after the first image is captured; a specification unit configured to specify a direction of movement of an object by using at least two images of the first image, the second image, and the third image; and a composition unit configured to generate an HDR image by composing the first image with one of the second image and the third image for each pixel in accordance with the direction of movement of the object.

Various methods for the detection and enhanced visualization of a particular structure or pathology of interest in a human eye are discussed in the present disclosure. An example method to visualize a given pathology (e.g., CNV) in an eye includes collecting optical coherence tomography (OCT) image data of the eye from an OCT system. The OCT image data is segmented to identify two or more retinal layer boundaries located in the eye. The two or more retinal layer boundaries are located at different depth locations in the eye. One of the identified layer boundaries is moved and reshaped to optimize visualization of the pathology located between the identified layer boundaries. The optimized visualization is displayed or stored or for a further analysis thereof.

A processor for an electronic endoscope includes: a region detection unit configured to detect an enhancement processing target region to be enhanced from pixel information of a captured image of a living tissue; and an enhancement processing unit configured to perform enhancement processing on the enhancement processing target region detected by the region detection unit. The region detection unit is configured to repeat a candidate extraction process of extracting a focused pixel as a candidate for an enhancement processing target region when a signal level value of the focused pixel is smaller than signal level values of two farthest pixels located on both sides farthest from the focused pixel in any one of a plurality of pixel array directions in a region surrounded by a frame surrounding a region with the focused pixel as a center while changing a size of the frame.