A shadow brightening method includes receiving, at a memory device, an original input image, a brightening level, and a threshold pixel intensity. If a pixel intensity is greater than the threshold, then the pixel is considered bright. Otherwise, the pixel is shadowed. The method includes calculating a gamma transformation for each pixel. If the pixel intensity is less than or equal to the threshold, then a gamma transformation equal to the received brightening level is applied. If the pixel intensity is greater than the threshold, then the gamma transformation is scaled to decrease with intensity. For each shadowed pixel, the method includes computing a minimum value. It also includes determining the brightening level to be applied, thus creating a gamma map. The method also includes applying the determined brightening level to the shadowed pixels and outputting a shadow-brightened output image.

Techniques for fabrication of implant material for the reconstruction of fractured eye orbit may include using an image processing system to analyze a set of two-dimensional images representing a three-dimensional scan of a skull of a patient, automatically detect an orbital fracture in the skull based on the set of two-dimensional images, and identify which/both of the two eye orbits containing any orbital fracture. The techniques may further include, for each of the two-dimensional images in which the orbital fracture is detected, determining a region of interest, and extracting the region of interest. The techniques may further include generating a three-dimensional reconstruction model for the fractured eye orbit, and outputting model data for generating an implant mold for the fractured eye orbit.

An electronic device, method, and computer readable medium for compositing high dynamic range frames are provided. The electronic device includes a camera, and a processor coupled to the camera. The processor registers the plurality of multi-exposure frames with a hybrid of matched features to align non-reference frames with a reference frame; generates blending maps of the plurality of multi-exposure frames to reduce moving ghost artifacts and identify local areas that are well-exposed in the plurality of multi-exposure frames; and blends the plurality of multi-exposure frames weighted by the blending maps using a two-step weight-constrained exposure fusion technique into a high dynamic range (HDR) frame.

An image processing device which is capable of accurately detect pixels covered by cloud shadows and remove effects of the cloud shadows in an images are provided. The device includes: a cloud transmittance calculation unit that calculates transmittance of the one or more clouds in an input image, for each pixel; a cloud height estimation unit that determines estimation of a height from the ground to each cloud in the input image to detect position of corresponding one or more shadows; an attenuation factor estimation unit that calculates attenuation factors for the direct sun irradiance by applying an averaging filter to the cloud transmittance calculated; and a shadow removal unit that corrects pixels affected by the one or more shadows, based on a physical model of a cloud shadow formation by employing the attenuation factors calculated and the position, and outputs an image which includes the pixels corrected.

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.

Systems and methods that facilitate efficient and effective shadow image generation are presented. In one embodiment, a hard shadow generation system comprises a compute shader, pixel shader and graphics shader. The compute shader is configured to retrieve pixel depth information and generate projection matrix information, wherein the generating includes performing dynamic re-projection from eye-space to light space utilizing the pixel depth information. The pixel shader is configured to create light space visibility information. The graphics shader is configured to perform frustum trace operations to produce hard shadow information, wherein the frustum trace operations utilize the light space visibility information. The light space visibility information can be considered irregular z information stored in an irregular z-buffer.

A radiation image processing device which performs image processing to a moving image that is obtained by emitting radiation to a subject, the radiation image processing device including a hardware processor that: extracts a reference region from each of a plurality of frame images which form the moving image; calculates an image processing condition of the reference region for each of the frame images from which the reference region is extracted; determines a standard image processing condition which is a standard based on the calculated image processing condition of each of the frame images; and performs image processing by applying the determined standard image processing condition to each of the frame images.

Smart metrology methods and apparatuses disclosed herein process images for automatic metrology of desired features. An example method at least includes extracting a region of interest from an image, the region including one or more boundaries between different sections, enhancing at least the extracted region of interest based on one or more filters, generating a multi-scale data set of the region of interest based on the enhanced region of interest, initializing a model of the region of interest; optimizing a plurality of active contours within the enhanced region of interest based on the model of the region of interest and further based on the multi-scale data set, the optimized plurality of active contours identifying the one or more boundaries within the region of interest, and performing metrology on the region of interest based on the identified boundaries.

The present disclosure relates to systems and methods for image sharpening. The systems and methods may obtain a target image to be processed, the target image including one or more target pixels to be processed. For each of the one or more target pixels, the systems and methods may select one or more previous pixels and one or more subsequent pixels along a predetermined direction in the target image; determine a first gray value based on the one or more previous pixels and a second gray value based on the one or more subsequent pixels; select a target gray value from the first gray value and the second gray value based on an initial gray value of the target pixel; and determine an adjusted gray value of the target pixel based on the initial gray value and the target gray value.

A display device, including a content receiving unit configured to receive a high dynamic range image, an image processing unit configured to detect a first region whose luminance value is equal to or greater than a reference luminance value within the high dynamic range image and perform tone mapping on an image of the first region based on feature information of the image of the first region, and a display unit configured to display a low dynamic range image on which the tone mapping is performed.