Abstract: Techniques for combining images to reduce motion blur in an output image are described. Data indicative of a first image and a second image of a scene is received. At least one portion of the first image associated with motion blur is identified. The portion of the first image is compared to a corresponding second portion of the second image. First pixels within the at least one portion of the first image and second pixels within the second portion of the second image not associated with motion blur are selected. The selected first pixels and second pixels are combined into an output image. The combined selected pixels are rendered on a display device.

Abstract: Techniques for combining images to reduce motion blur in an output image are described. Data indicative of a first image and a second image of a scene is received. At least one portion of the first image associated with motion blur is identified. The portion of the first image is compared to a corresponding second portion of the second image. First pixels within the at least one portion of the first image and second pixels within the second portion of the second image not associated with motion blur are selected. The selected first pixels and second pixels are combined into an output image. The combined selected pixels are rendered on a display device.

Abstract: A device receives an image for an active contour model, where the active contour model includes a first module and a second module. The device receives an initial contour for the image and the active contour model, and executes a speed function of the first module, based on the image and the initial contour, to generate a speed function result. The device executes a numerical minimization method of the second module, based on the image and the speed function result, to generate a final contour, and provides the image and the final contour for display.

Abstract: A device is configured to determine a contour vector that delineates an object in an image from a remaining portion of the image, and to generate a hash value by applying a hash function to the contour vector. The device is configured to compare the hash value to a previous hash value generated by applying the hash function to a previous contour vector, where the previous contour vector is determined prior to determining the contour vector. The device is configured to determine that the hash value matches the previous hash value and, based on determining that the hash value matches the previous hash value, segment the image using the contour vector.