Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

Systems and methods upscale an input image by a final upscaling factor. The systems and methods employ a first module implementing a super resolution neural network with feature extraction layers and multiple sets of upscaling layers sharing the feature extraction layers. The multiple sets of upscaling layers upscale the input image according to different respective upscaling factors to produce respective first module outputs. The systems and methods select the first module output with the respective upscaling factor closest to the final upscaling factor. If the respective upscaling factor for the selected first module output is equal to the final upscaling factor, the systems and methods output the selected first module output. Otherwise, the systems and methods provide the selected first module output to a second module that upscales the selected first module output to produce a second module output corresponding to the input image upscaled by the final upscaling factor.

The present disclosure discloses an image decompression method, device, and display terminal. The method includes: a step of acquiring image compression data; a step of performing inverse quantization on the image compression data based on a preset inverse quantization factor to obtain inversely quantized data; wherein the inverse quantization factor is in integer form; and a step of performing an inverse discrete cosine transformation (DCT) on the inversely quantized data to obtain image data; wherein the inverse DCT includes bit-shift operations and addition operations.

A conventional vehicle typically behaves like a single rigid body with fixed characteristics defined during the design phase of the vehicle. The rigid nature of the conventional vehicle limits their ability to adjust to different operating conditions, thus limiting usability and performance. To overcome these limitations, a reactive vehicle may be used that includes a sensor and a reactive system. The sensor may monitor the position and/or orientation of an operator, the vehicle operating conditions, and/or the environment conditions around the vehicle. The reactive system may adjust some aspect of the vehicle based on the data acquired by the sensor. For example, the reactive system may include a video-based mirror with a field of view that changes based on the operator's movement. In another example, the reactive system may include an articulated joint that changes the physical configuration the vehicle based on the operator's movement.

The present invention provides systems, devices, and methods for point-of-care and/or distributed testing services. The methods and devices of the invention are directed toward automatic detection of analytes in a bodily fluid. The components of the device can be modified to allow for more flexible and robust use with the disclosed methods for a variety of medical, laboratory, and other applications. The systems, devices, and methods of the present invention can allow for effective use of samples by improved sample preparation and analysis.

There is described a method of generating data indicative of a condition of an internal organ, the method comprising: receiving a plurality of images representing the internal organ; receiving landmark data associated with a selected image of the plurality of images; processing the landmark data and the selected image to extract a region of interest in the plurality of images; and processing the region of interest in the plurality of images to generate data indicative of a condition of the internal organ.

An eyewear camera as a system is introduced that includes many subsystems. These subsystems include: scene imaging, control methods, tracking a user's eye, methods and techniques to increase the resolution of an image captured by a scene camera, methods to create a viewfinder, and methods to capture an image of a user's eye while simultaneously projecting an image into the user's eye. Such an eyewear will allow a user to capture a scene effortlessly, select an object within the scene, get extra information about the object via a digital personal assistant, or even modify a subset of the scene. Specific applications will be discussed that include visual aid for people with low vision and upgrading existing security cameras via proposed single camera super resolution techniques.

An afterimage detection device includes a downscaling unit that downscales an input image at a preset ratio, an image accumulation unit that receives at least one downscale image from the downscaling unit and accumulates the at least one downscale image, an afterimage detection unit that detects an afterimage from an accumulated downscale image obtained by the image accumulation unit and generates afterimage information, and a weight applying unit that receives the afterimage information, calculates a downscaling weight of a region of interest including the afterimage in the input image based on a time parameter, and provides the downscaling weight to the downscaling unit.

Dynamic spread anti-aliasing is described. In some embodiments, a filled object is segmented into control tiles. Along the object border, multiple exterior control tiles respectively correspond to multiple curves forming the border. For each curve, one side is filled and the other is anti-aliased to smooth the appearance of the filled object. Each exterior control tile is expanded to create an expanded control tile having a spread zone that includes additional pixels. For example, a control triangle is transformed into a control rectangle, and the control rectangle is enlarged to create an expanded control rectangle by extending an edge outward and away from the curve on the side to be anti-aliased. The additional pixels of the spread zone are subjected to anti-aliasing, such as by applying alpha modulation to the pixels based on respective distances between the pixels and the curve. For subpixel zoom levels, pixel color can be adjusted.

An image processing method determines a geometric transform of a suspect image by efficiently evaluating a large number of geometric transform candidates in environments with limited processing resources. Processing resources are conserved by using complementary methods for determining a geometric transform of an embedded signal. One method excels at higher geometric distortion, and specifically, distortion caused by greater tilt angle of a camera. Another method excels at lower geometric distortion, for weaker signals. Together, the methods provide a more reliable detector of an embedded data signal in image across a larger range of distortion while making efficient use of limited processing resources in mobile devices.