A system and method for compensating for reflections caused by light-generating objects in the scene facing a display device includes capturing images of the scene. Reflection-inducting zones corresponding to the light generating objects are identified from the captured images. The reflection effect on the display device from the reflection-inducing zones are estimated. A target image to be displayed on the display device is adjusted based on the estimated reflection effect.

Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

A device for processing high dynamic range and/or wide color gamut (HDR/WCG) video data can be configured to determine a quantization parameter for quantized transform coefficients of a block of the HDR/WCG video data; inverse quantize the quantized transform coefficients based on the determined quantization parameter to determine dequantized transform coefficients; based on the dequantized transform coefficients, determine a block of residual values for the block of the HDR/WCG video data; based on the block of residual values, determine a reconstructed block for the block of the HDR/WCG video data; determine one or more dynamic range adjustment (DRA) parameters for the block of the HDR/WCG video data; adjust the one or more DRA parameters based on the determined quantization parameter to determine one or more adjusted DRA parameters; and perform DRA on the reconstructed block of the HDR/WCG video data using the one or more adjusted DRA parameters.

System, method and computer program product for background compensation of a digital image containing at least one first object, the at least one first object having received at least one molecule comprising genetic information, and at least one second object, the at least one second object not having received a molecule comprising genetic information, the at least one molecule being configured to receive a fluorescent compound, the digital image being determined by an optical imaging system during emission of electromagnetic radiation by the fluorescent compound.

The automated treatment of agricultural fields allows precise application of treatment to only areas of the field requiring treatment, allowing reduced use of agricultural products such as pesticides and the related reduction in environmental stress. Such automated treatment requires the monitoring of image information of the field to detect objects of interest such as weeds. Such monitoring of image information of the field suffers from the real world problem of shadows cast from the agricultural equipment and/or adjacent trees or structures that cast shadows across the field. Shadows are extracted from the image data by smoothing the data, and developing a shadow mask by employing an intensity histogram and identifying a local minima in the darker intensities of the histogram to identify a shadow threshold. The image areas within the shadow area detected by said mask are then corrected by multiplication with correction coefficients to extract the shadow.

A display apparatus according to the present invention, includes: a display unit configured to display an image based on display image data generated from input image data; a control unit configured to control emission brightness of a light source of the display unit; and a detecting unit configured to detect a user operation for specifying a position in the image, wherein the control unit controls the emission brightness of the light source of the display unit in accordance with a gradation value of the input image data corresponding to the position specified by the user operation, to emission brightness that is lower than set emission brightness or to emission brightness that is higher than the set emission brightness.

Methods and apparatus are disclosed for producing high quality images in uncontrolled or impaired environments. In some examples of the disclosed technology, groups of cameras for high dynamic range (HDR), polarization diversity, and optional other diversity modes are arranged to concurrently image a common scene. For example, in a vehicle checkpoint application, HDR provides discernment of dark objects inside a vehicle, while polarization diversity aids in rejecting glare. Spectral diversity, infrared imaging, and active illumination can be applied for better imaging through a windshield. Preprocessed single-camera images are registered and fused. Faces or other features of interest can be detected in the fused image and identified in a library. Impairments can include weather, insufficient or interfering lighting, shadows, reflections, window glass, occlusions, or moving objects.

Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for providing virtual lighting adjustments to image data. A user interface for presenting and/or modifying image data may be provided via an electronic device. User input may be received that indicates a selection of a virtual lighting mode. Landmark points corresponding to a set of pixels of the image data may be identified based, at least in part, on depth measurement values of the set of pixels. One or more masks may be generated from the landmark points. One or more virtual lighting adjustments associated with the selected virtual lighting mode may be made to the image data using these masks (or the landmark points and an implied geometry of the landmark points). The adjusted/modified image may be presented to the user via the user interface at the electronic device.

In order to provide a more preferable white balance adjustment, an image processing apparatus obtains an input image, determines a representative point in the input image and a white balance coefficient of the representative point, obtains first information representing the inclination of a surface that includes the representative point and second information representing the inclination of a surface that includes a pixel of interest in the input image, and adjusts white balance of the pixel of interest based on the first information, the second information, and the white balance coefficient.

Disclosed is a fluorescence image analyzing apparatus including a light source that emits light to a sample including a plurality of cells labeled with a fluorescent dye at a target site, an imaging unit that captures a fluorescence image of each of the cells that emit fluorescence by being irradiated with the light, a processing unit that processes the fluorescence image captured by the imaging unit, and a display unit that displays the fluorescence image processed by the processing unit. The processing unit performs an extraction process of extracting, for each cell, a plurality of bright spots in the fluorescence image including the target site, a changing process of changing a pixel value of each of the plurality of extracted bright spots based on the pixel value of each bright spot, and a display process of displaying the fluorescence image whose pixel value is changed on the display unit.