Abstract:
A class of imaging systems in which the imaging optics, the sensor array and the image processing are related by three parameters: W040 the amount of third order spherical aberration, U the undersampling factor defined as the ratio of the Nyquist frequency of the sensor array divided by the diffraction-limited frequency of the imaging optics, and N the number of rows in the FIR implementation of the image processing. In one aspect, W040 is between approximately 2 and 8 waves, U is between approximately 0.05 and 0.30, and N satisifies an equation that defines the acceptable range of N as a function solely of W040 and U.
Abstract:
A unified design strategy takes into account different subsystems within an overall electro-optic imaging system. In one implementation, the design methodology predicts end-to-end imaging performance using a spatial model for the source and models for the optical subsystem, the detector subsystem and the digital image processing subsystem. The optical subsystem and digital image processing subsystems are jointly designed taking into account the entire system. The intermediate image produced by the optical subsystem is not required to be high quality since, for example, the quality may be corrected by the digital image processing subsystem.
Abstract:
Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).
Abstract:
Adaptive optics (AO) elements in imaging system allow dynamic and precise control over the optical wavefront to reduce uncontrolled wavefront errors in imaging systems. Traditional control of such devices is based on inverting the wavefront function to minimize the RMS wavefront error. However, this approach is not always optimal, particularly when the wavefront error is near or exceeds the limit of the AO element's correction capability. In the current approach, the AO element is instead controlled based on a performance metric that takes into account image processing, and not just RMS wavefront error.
Abstract:
A method and system for high-speed and low-complexity geometric transformation of signals are described. In one embodiment, the system comprises an input patch consisting of a window of pixels from an input image. The system may further comprise a transformation selector to generate control data to control a geometric transformation mapping based on the location of a current pixel being processed. In one embodiment, the system may also comprise a hardware geometric transform engine to perform a geometric transformation mapping by switching on one path through the geometric transform engine from an input window to an output pixel using the control data. In one embodiment, the system may further comprise an interpolator to generate interpolated geometric transformation mappings using the control data and multiple outputs from the geometric transform engine by switching on multiple paths from an input window.
Abstract:
A catadioptric imaging system combines a rectifying mirror, a lens system and subsequent image processing. This approach can produce a small form factor desktop document imaging system capable of producing high-quality, high-resolution images of paper documents.
Abstract:
A method and system for high-speed and low-complexity geometric transformation of signals are described. In one embodiment, the system comprises an input patch consisting of a window of pixels from an input image. The system may further comprise a transformation selector to generate control data to control a geometric transformation mapping based on the location of a current pixel being processed. In one embodiment, the system may also comprise a hardware geometric transform engine to perform a geometric transformation mapping by switching on one path through the geometric transform engine from an input window to an output pixel using the control data. In one embodiment, the system may further comprise an interpolator to generate interpolated geometric transformation mappings using the control data and multiple outputs from the geometric transform engine by switching on multiple paths from an input window.
Abstract:
A digital-optical imaging system can be operated in two modes, which shall be referred to as broadband mode and grayscale mode. In broadband mode, different color images are captured and then image processed together. The optics are intentionally aberrated to increase the depth of field, with the image processing compensating for the aberrations. In grayscale mode, the different color images are captured and then image processed separately. The color images are assumed to be correlated so that it is not necessary to have clear images of all color channels. Accordingly, the optics are designed so that the different color images focus at different locations, thus increasing the overall depth of field where at least one color image is in focus.
Abstract:
A unified design strategy takes into account different subsystems within an overall electro-optic imaging system. In one implementation, the design methodology predicts end-to-end imaging performance using a spatial model for the source and models for the optical subsystem, the detector subsystem and the digital image processing subsystem. The optical subsystem and digital image processing subsystems are jointly designed taking into account the entire system. Unconventional techniques such as the nonequidistant DFT (nDFT) are used to accelerate the design process.
Abstract:
An optical system that behaves like an integrated low pass filter with an adjustable optical cutoff frequency. The filter behavior is “integrated” in the sense that the overall design of the optical system results in the low pass filter characteristic, rather than having a separate, discrete component that implements the low pass filtering. The filter behavior is “adjustable” in the sense that the optical system can be adjusted in a manner that changes the optical cutoff frequency of the MTF. For example, moving certain optical components within the optical system may cause the change in cutoff frequency.