Method and system for displaying augmented reality reflective of environmental features affecting visibility. Characteristics of a virtual object to be displayed on view of scene is determined. Environmental features affecting visibility along a line-of-sight from scene origin to virtual object are detected. When detected feature is at least one non-obstructing feature, its effect on visibility is determined, and virtual object is displayed superimposed onto view of scene such that appearance of virtual object is consistent with determined effect on visibility. When detected feature includes an amorphous obstructing feature, its range and contour is determined, and obstructed portions of virtual object is determined based on difference between range of virtual object and range of amorphous obstructing feature, and virtual object is displayed superimposed onto view of scene such that determined obstructed portions of virtual object appear obstructed in displayed view.

A clinical trial re-evaluation system is operable to perform at least one assessment function on a set of medical scans for each of a first subset of a set of patients of a failed clinical trial to generate automated assessment data for each of the first subset of the set of patients. The first subset of the set of patients corresponds to a subset of human assessment data determined to have failed to meet criteria of the clinical trial. Patient re-evaluation data is generated for each of the first subset of the set of patients by comparing the automated assessment data to the criteria. The patient re-evaluation data for a second subset of the first subset of the set of patients indicates the automated assessment data passes the criteria. Trial re-evaluation data is generated based on the patient re-evaluation data for transmission to a computing device for display.

Embodiments related to local tone mapping for symbol reading. A local pixel neighborhood metric is determined for at least one raw pixel in a region-of-interest, which identifies on one or more raw pixels near the at least one raw pixel. A local mapping function is determined for the at least one raw pixel that maps the value of the raw pixel to a mapped pixel value with a mapped bit depth that is smaller than the bit depth associated with the raw image. The local mapping function is based on a value of at least one other raw pixel near the at least one raw pixel within the local pixel neighborhood metric, and at least one parameter determined based on the raw image. A mapped image is computed for the region-of-interest by applying the local mapping function to the raw image.

An image display apparatus determines, based on information obtained from an image supply apparatus via a communication interface, whether or not the image display apparatus has a capability of displaying an image of a first dynamic range that is generated in the image supply apparatus, and if the image display apparatus has a capability of displaying an image of the first dynamic range, requests the image supply apparatus for an image of the first dynamic range, and if the image display apparatus does not have a capability of displaying an image of the first dynamic range, requests the image supply apparatus for an image of a second dynamic range that can be displayed on the image display apparatus.

A transmittance estimation unit estimates a transmittance for each of regions from a captured image. The transmittance estimation unit estimates the transmittance for each pixel, using, for example, dark channel processing. A transmittance detection unit detects a transmittance of haze at the time of imaging of the captured image, using the transmittance estimated for each pixel by the transmittance estimation unit and depth information for each pixel. The transmittance detection unit detects the transmittance of the haze on the basis of, for example, a logarithm average value of the transmittances in the whole or a predetermined portion of the captured image, and an average value of depths indicated by the depth information. Alternatively, the transmittance detection unit converts a grayscale of the transmittance estimated for each of the regions from the captured image into a grayscale of the depth indicated by the depth information for each of the regions and sets the transmittance after the grayscale conversion as the transmission of the haze. This enables the transmittance to be detected with high accuracy.

An image processing apparatus comprising, an acquisition unit configured to acquire a visible light image and an invisible light image, a determination unit configured to determine a region on an image based on the visible light image or the invisible light image acquired by the acquisition unit, and a combining unit configured to generate a composite image such that a combination ratio of the visible light image is larger than a combination ratio of the invisible light image in the region determined by the determination unit, wherein the acquisition unit acquires the visible light image for which an exposure is adjusted such that a region of the visible light image that corresponds to the region determined by the determination unit has an appropriate exposure.

A system and method are presented for use in angiographic imaging. The system comprises: a light source unit, and at least one imaging unit comprising a detector array, wherein the detector array comprises at least first and second types of detector cells having corresponding first and second different spectral response functions defining respectively first and second spectral peaks; and the light source is unit configured for emitting light formed of at least first and second discrete wavelength ranges which are selected to be aligned with said first and second spectral peaks of said first and second types of detector cells.

An image processing device includes: a memory; and a processor comprising hardware, wherein the processor is configured to: receive agent observation image information including information of a plurality of pixels obtained by capturing an image based on fluorescence from a subject administered with an agent that emits fluorescence upon being irradiated with excitation light in a predetermined wavelength band; amplify pixel values of the plurality of pixels by executing first gain processing on the agent observation image information; and reduce pixel values of pixels lower than a predetermined threshold by executing reduction processing on the agent observation image information after the first gain processing.

According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to specify a position of a pathological abnormality candidate and a pathological abnormality type of a breast of a subject from a plurality of pieces of tomographic images obtained by performing tomosynthesis imaging on the breast. The processing circuitry is configured to, in a two-dimensional image obtained by performing X-ray imaging on the breast, perform image processing on a position corresponding to the position of the specified pathological abnormality candidate in accordance with the pathological abnormality type.

A radiographic image processing device includes a hardware processor which sets a reference signal value in a range of a signal value of a pixel in a processing object region in a radiographic image, determines a conversion rate to convert a dynamic range in a high signal region and a conversion rate to convert a dynamic range in a low signal region respectively based on the reference signal value, determines a contrast modification rate which indicates an extent of processing of contrast modification in the signal region where the dynamic range is converted in the processing object region based on the reference signal value or the conversion rate, converts a dynamic range of a signal region in the processing object region based on the determined conversion rate, and performs contrast modification in the signal region in the processing object region based on the determined contrast modification rate.