Abstract: An image enhancement technique includes a filter that receives an input image and provides a low-pass filtered image that maintains a substantial number of edges therein. The low pass filtered image is provided a likelihood of being a sky color for each pixel of the low pass filtered image. The low-pass filtered image is filtered based upon a user selection to selectively enhance the sky color. The low-pass filtered image and the filtered low-pass filtered image are blended based upon the user selection based upon the likelihood. The blended image is combined with a high pass filtered input image to provide an enhanced image.

Abstract: A display system comprising first and second panels, where the second panel is maintained at a different orientation with respect to the first panel such that the first panel is non-coplanar with the second panel. The display system projecting the image onto the first and second display panels in such a manner so as to reduce geometric distortions of a viewer when viewing the image.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for image-based automatic defect detection.

Abstract: A method for determining edge features of an image comprising filtering at least a portion of the image to attenuate high frequency signals of the image to an extent greater than low frequency signals of the image. Performing a one-dimensional search in a two different horizontal directions relative to a particular pixel of the image to determine horizontal direction local maximums. Calculating a horizontal gradient based upon the horizontal direction local maximums. Performing a one-dimensional search in a two vertical horizontal directions relative to a particular pixel of the image to determine vertical direction local maximums. Calculating a vertical gradient based upon the vertical direction local maximums. Calculating a gradient for the particular pixel based upon the horizontal gradient and the vertical gradient.

Abstract: A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.

Abstract: A system for modification of an image to be displayed on a display includes receiving an input image and adjusting a luminance level for a backlight of the display for displaying the input image based upon an ambient lighting level and a visual system responsive model to the ambient lightening level.

Abstract: A method for image processing includes decomposing a model image into at least one lower resolution image and determining generally rotation invariant characteristics of a model object of the lower resolution image and an object orientation of the model object of the lower resolution image using an edge based technique. Decomposing the image into at least another lower resolution image and determining a candidate test object's position within another lower resolution image and an orientation of the test object using an edge based technique. The orientation ambiguity of the test object is resolved.

Abstract: A system for the identification of feature points in low contrast images.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for image-based automatic detection of a defective area in a flat panel display and classification of the defect type and the cause of the detected defect.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for image-based automatic defect detection.

Abstract: A method for determining edge features of an image comprising filtering at least a portion of the image to attenuate high frequency signals of the image to an extent greater than low frequency signals of the image. Performing a one-dimensional search in a two different horizontal directions relative to a particular pixel of the image to determine horizontal direction local maximums. Calculating a horizontal gradient based upon the horizontal direction local maximums. Performing a one-dimensional search in a two vertical horizontal directions relative to a particular pixel of the image to determine vertical direction local maximums. Calculating a vertical gradient based upon the vertical direction local maximums. Calculating a gradient for the particular pixel based upon the horizontal gradient and the vertical gradient.

Abstract: Aspects of the present invention are related to systems and methods for improving content visibility on a liquid crystal display (LCD) under low-contrast viewing conditions. According to one aspect of the present invention an enhanced image may be formed by combining a key-feature map associated with an input image and a brightness-boosted version of the input image.

Abstract: A method for displaying an image on a display includes receiving a two dimensional image to be displayed on the display. The two dimensional image may be modified using a non-photorealistic technique and the contrast is reduced. At least one of the modifying and reducing is based upon a power usage factor. Also, the system may modify the power usage based upon audio, presence, smart meters, and brightness preservation.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: System and method for m-ary phase shifting keying modulation. According to an embodiment, the present invention provides a method for performing m-ary phase-keying shift modulation. The method includes providing at least a first signal and a second signal by a signal source. The first signal and the second signal are characterized by a first signal strength level. The method also includes attenuating the second signal to provide a third signal. The second signal are characterized by a second signal strength level which is at approximate 50% of the first signal strength level. The method additionally includes coupling the first signal to a first bias voltage to provide a fourth signal. Furthermore, the method includes coupling the third signal to a second bias voltage to provide a fifth signal. The method also includes a step for providing a sixth signal by combing the fourth signal and the fifth signal.

Abstract: An image enhancement technique that includes a filter that receives an image and generates a filtered image primarily including lower frequency content and sharp edges of the image. A skin color processing is based upon the filtered image to enhance skin tone regions of the image. A sky color processing is based upon the filtered image to enhance sky color regions of the image. A combiner calculates an output image based upon the skin color processing, the sky color processing, and higher frequency content of the image.

Abstract: An image enhancement technique includes a filter that receives an input image and provides a low-pass filtered image that maintains a substantial number of edges therein. The low pass filtered image is provided a likelihood of being a sky color for each pixel of the low pass filtered image. The low-pass filtered image is filtered based upon a user selection to selectively enhance the sky color. The low-pass filtered image and the filtered low-pass filtered image are blended based upon the user selection based upon the likelihood. The blended image is combined with a high pass filtered input image to provide an enhanced image.

Abstract: A method for scaling an image includes providing a set of filters based upon a low-resolution data set and a high-resolution data set suitable for up-scaling a low resolution image to a high resolution image. The filters are collectively representative of at least a portion of an image space and a substantial number of the filters are representative of a different at least one selected from a volume and a shape within the image space. A low-resolution image is received and generates a corresponding high-resolution image based up the filters.

Abstract: System and method for m-ary phase shifting keying modulation. According to an embodiment, the present invention provides a method for performing m-ary phase-keying shift modulation. The method includes providing at least a first signal and a second signal by a signal source. The first signal and the second signal are characterized by a first signal strength level. The method also includes attenuating the second signal to provide a third signal. The second signal are characterized by a second signal strength level which is at approximate 50% of the first signal strength level. The method additionally includes coupling the first signal to a first bias voltage to provide a fourth signal. Furthermore, the method includes coupling the third signal to a second bias voltage to provide a fifth signal. The method also includes a step for providing a sixth signal by combing the fourth signal and the fifth signal.