Abstract: A method of imaging a tissue region may comprise visualizing one or more lesions in vivo over a tissue region within a body through an imaging catheter. The method may further comprise measuring a temperature or an electrical potential of the one or more lesions. The method may further comprise overlaying a gradient indicative of the temperature or the electrical potential upon a visual image of the one or more lesions captured in vivo. The method may further comprise registering ablation parameters to the visual image of the one or more lesions and displaying the visual image with the overlaid gradient and the registered ablation parameters.

Abstract: A method of imaging a tissue region may comprise visualizing lesions over a tissue region via an imaging catheter by viewing the tissue region through a viewing region purged by a fluid and identifying, with a computer, a location of each of the lesions relative to one another over the tissue region. The method may also include registering, with the computer, a unique set of ablation parameters received from a treatment device for lesion generation for each of the lesions and generating, with the computer, a map of the lesions based on the identified locations of the lesions. The method may also include visually displaying the map of the lesions in a common display with a real-time field of view image of a first lesion; and visually displaying the registered unique set of ablation parameters for the first lesion with the real-time field of view image of the first lesion.

Abstract: Image processing systems are described which utilize various methods and processing algorithms for enhancing or facilitating visual detection and/or sensing modalities for images captured in vivo by an intravascular visualization and treatment catheter. Such assemblies are configured to deliver energy, such as RF ablation, to an underlying target tissue for treatment in a controlled manner while directly visualizing the tissue during the ablation process.

Abstract: Image processing systems are described which utilize various methods and processing algorithms for enhancing or facilitating visual detection and/or sensing modalities for images captured in vivo by an intravascular visualization and treatment catheter. Such assemblies are configured to deliver energy, such as RF ablation, to an underlying target tissue for treatment in a controlled manner while directly visualizing the tissue during the ablation process.

Abstract: A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.

Abstract: A system for and method of calibrating an imaging device efficiently is described herein. The imaging device acquires an image of an object that is more than one color. The information acquired is then transferred to a computing device. The information is then used to generate a set of data which represents information which was not acquired in the image. The set of data is generated based on statistical prediction using a training data set. Using acquired image information and the set of data, an imaging device is able to be calibrated. Since the process of calibration utilizing this method only requires one image to be acquired and a reduced set of image information to be sent to the computing device, the process is more efficient than previous implementations.

Abstract: A system for and method of determining calibration parameters while only capturing a single image is described herein. Furthermore, traditional calibration algorithms are avoided by the direct determination of the calibration parameters. The determination of the calibration parameters is possible by first determining a training data set from images acquired of a variety of objects with a multitude of colors. Then, using the training data set, regression coefficients are generated. A camera to be calibrated then acquires only one set of image information such as a single picture. Then, using the regression coefficients and the acquired information, the calibration parameters are directly estimated for that camera.

Abstract: Image processing systems are described which utilize various methods and processing algorithms for enhancing or facilitating visual detection and/or sensing modalities for images captured in vivo by an intravascular visualization and treatment catheter. Such assemblies are configured to deliver energy, such as RF ablation, to an underlying target tissue for treatment in a controlled manner while directly visualizing the tissue during the ablation process.

Abstract: A method and system are provided for approximating spectral sensitivities of a particular image sensor, the image sensor having a color filter array positioned over the image sensor. In one example of the method, the method involves measuring spectral sensitivities of a set of image sensors each having a color filter array positioned over the image sensor, calculating mean spectral sensitivities of the set of image sensors for each color within the color filter array, measuring outputs of a particular image sensor when capturing a picture of a plurality of color patches under a first illuminant and calculating spectral sensitivities of the particular image sensor using the mean spectral sensitivities and the output of the particular image sensor. In some embodiments, the method further comprises utilizing the calculated spectral sensitivities to determine outputs of the particular image sensor under a second illuminant.

Abstract: A method and apparatus provide edge enhancements as part of a demosaicing process in which an image is captured. By providing edge enhancements as part of the demosaicing process, the edge enhancement process has access to unaltered spatial and chromatic information contained in the raw captured image data.

Abstract: A system for and method of calibrating an imaging device efficiently is described herein. The imaging device acquires an image of an object that is more than one color. The information acquired is then transferred to a computing device. The information is then used to generate a set of data which represents information which was not acquired in the image. The set of data is generated based on statistical prediction using a training data set. Using acquired image information and the set of data, an imaging device is able to be calibrated. Since the process of calibration utilizing this method only requires one image to be acquired and a reduced set of image information to be sent to the computing device, the process is more efficient than previous implementations.

Abstract: A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.

Abstract: A system for and method of determining calibration parameters while only capturing a single image is described herein. Furthermore, traditional calibration algorithms are avoided by the direct determination of the calibration parameters. The determination of the calibration parameters is possible by first determining a training data set from images acquired of a variety of objects with a multitude of colors. Then, using the training data set, regression coefficients are generated. A camera to be calibrated then acquires only one set of image information such as a single picture. Then, using the regression coefficients and the acquired information, the calibration parameters are directly estimated for that camera.

Abstract: A system and method for effectively performing an image data transformation procedure may include an electronic camera device that is implemented to capture primary image data corresponding to a photographic target. A transformation manager in the electronic camera device may be configured to convert the primary image data into secondary image data by utilizing selectable transformation parameters that are optimized by utilizing an optimization metric to thereby minimize noise characteristics in the secondary image data. The transformation parameters may be stored in parameter lookup tables in the electronic camera device for use by the transformation manager in performing the image data transformation procedure.

Abstract: A system and method for efficiently performing a white balance operation preferably includes an electronic camera device that captures image data using a imaging device. A color manager may then convert the captured image data into perceptual color space data. The color manager may next create a histogram of chromaticity vectors corresponding to pixels from the perceptual color space data. The color manager may then derive a neutral core vector corresponding to a neutral core peak from the histogram. The color manager may advantageously utilize the neutral core vector to identify a scene illuminant corresponding to color channel amplifier gains, and may then adjust the captured image data with the color channel amplifier gains to thereby complete the white balance operation.

Abstract: A system and method for effectively performing an image data processing procedure may include an image manager configured to access raw image data and responsively process the raw image data to produce final image data. The image manager may preferably perform a series of destination pixel calculations with raw image data pixels from the raw image data to generate final image pixels for the final image data. While performing the foregoing image data processing procedure, the image manager may utilize various enhancements techniques, including a dual-spiral processing pattern, a distance weighting factor, a reset relaxation technique, an iteration limit, a ratio-array technique, and an image blending technique.

Abstract: A system and method for effectively implementing a dither matrix for an electronic printer device may preferably create an improved dither matrix with optimal threshold values for use in a corresponding dither tile. During a matrix populating procedure for assigning tile threshold values for the dither matrix, the dither tile may preferably be embedded within a larger frame area of additional adjacent frame cells. A design entity may then preferably compute various cost functions when the additional boundary cells of the frame area are in place. The embedded dither matrix of the dither tile is thus preferably populated within the foregoing frame area so that various boundary effects may be taken into account when an overall cost function of both the dither tile plus the frame area is calculated.

Abstract: A method and apparatus to reconfigure battery systems for r/c model vehicles that permit the rapid reconfiguration of battery cells to connect to many different vehicle systems with various serial and parallel configurations employing standard r/c battery connectors according to the user's present needs. In one instance of the application individual battery cells can independently be discharged and/or recharged.

Abstract: A system and method for gray-scale or color printing is disclosed. One embodiment of the present invention transposes multiple pairs of pixels at the same time. During this process a record of the values of the cost function is kept. After a good statistical sample of multiple pairs of pixel replacements has occurred, the top five combinations are then selected for further refinement. During this next round of calculations the multiple of pairs of pixels transposed is reduced by a factor of two. In another embodiment of the present invention, the selection of the groups of pixels to transpose is controlled. During the initial iteration stages, a minimal radial offset of separation is imposed upon the pixel selection. Typically this minimum radial offset starts at one quarter of the array height. This selection process ensures that transpositions have the largest mixture around the array.

Abstract: A light-emitting color display system is provided having an optical sensor system in which a plurality of photosensors are directed towards the light source of the light-emitting color display system to provide outputs proportional to the light energy associated with each color. A processing system responds to the outputs over time with the initial outputs and provides a mechanism to correct color changes in the display system. The color light-emitting display system has a second plurality of photosensors directed away from said light-emitting color display system for providing outputs related to the different illuminants and allowing compensation of the light-emitting color display system for the illuminants.