Abstract:
Provided is a parental genome assembly method, comprising: using the sequencing data of parental selfing line progeny population to assemble and perfect the parental genome data. Also provided is a device for implementing the method.
Abstract:
Methods to generate, and devices to use, an adaptive tone curve generation operation are disclosed. Tone curves so generated have been found to produce stable tone mapping in a wide range of operational environments, including during multi-exposure fused images (e.g., during high dynamic range image fusion). In general, techniques are disclosed that use a content-load histogram in combination with image capture device noise information to adaptively bound a tone curve's slope and, therefore, the resulting tone curve. As used here, a content-load histogram is a histogram that captures spatial, color or other information carried by an image's pixels at various gray levels.
Abstract:
Provided is a parental genome assembly method, comprising: using the sequencing data of parental selfing line progeny population to assemble and perfect the parental genome data. Also provided is a device for implementing the method.
Abstract:
A method performed by a physical computing system for determining a layout of graphic objects (802) according to a layout density map (300) includes generating the layout density map (300), the layout density map (300) having low density regions (302) and high density regions (304); providing a set of candidate locations (402) within the layout density map (302), a number of the candidate locations (402) being equal to a number of the graphic objects (802), the candidate locations (402) being arranged away from the low density regions (302) and from other the candidate locations (402); and overlaying the layout density map (300) with the graphic objects (402), each graphic object (802) being disposed at one of the candidate locations (402).
Abstract:
A system and a method are disclosed that determine placement of a background image on a canvas and area for placement of foreground images. A system and method include receiving data indicative of an informative zone of a background image and computing an estimated foreground area on a canvas for each candidate placement of the background image on the canvas. The estimated foreground area is computed based on the data indicative of the informative zone and the number of images to be used as foreground images and does not include the informative zone. One of the candidate placements is determined as a selected background placement based on the computed values of estimated foreground area. A composite image can be generated from the background image positioned on the canvas according to the selected background placement and foreground images positioned outside of the informative zone.
Abstract:
A solid state imaging device includes an array of active pixels and an infrared cut filter formed over the sensor. Optionally, a slot in the infrared cut filter allows infrared illumination to reach the sensor to be detected by pixels covered by a visually opaque filter and surrounded by pixels of special types that limit charge leakage and enable high dynamic range sensing of infrared illumination. A ratio of average infrared signal to average brightness indicates an amount of infrared illumination reaching the imaging device.
Abstract:
This disclosure pertains to devices, methods, and computer readable media for improved accuracy of color correction matrix (CCM) coefficient determination based on estimated white point, while maintaining a relatively smooth variation of CCM coefficients over the white point space. The techniques disclosed herein may be achieved via the storage of a limited number of determined CCM multiplier vectors and thus be effective in the camera image pipelines of real image capture devices. With the more accurate CCMs calculated with the disclosed techniques, visible improvement in rendered colors may be achieved as compared to using interpolation from a handful of corner CCMs. The color correction techniques described herein may be implemented by dedicated or general purpose hardware, general application software, or a combination of software and hardware in a computer system.
Abstract:
In a method for dynamically scaling an original background layout having at least one element, an instruction to employ the original background layout in a new page that differs in at least one of size and aspect ratio from at least one of the size and aspect ratio of the original background layout is received. In addition, a type and a position of the at least one element is identified and one or more constraints are applied on at least one characteristic of the at least one element to modify the at least one characteristic of the at least one element for inclusion in the new page, in which the one or more constraints are based upon the type and position of the at least one element.
Abstract:
Visual elements of a first image are changed in accordance with an image editing process to produce an edited high-resolution image and visual elements of a second image are modified in accordance with an emulator process to produce a modified low-resolution image. The emulator process produces the modified low-resolution image with visual changes relative to the second image that mimic perceived visual changes made to the visual elements of the first image by the image editing process to produce the edited high-resolution image. The emulator process is built from a set of one or more image enhancement processes in accordance with an optimization process.
Abstract:
The invention includes a method for predicting a scheduled downtime associated with a system. In one embodiment, a method includes determining a system model associated with the system according to a system type of the system, determining at least one scheduled system downtime event type associated with the system using the system model, selecting at least one scheduled system downtime event model according to the at least one scheduled system downtime event type, and predicting the scheduled system downtime using the at least one scheduled system downtime event model.