Abstract: An example method for processing visual communications at a video camera according to the disclosure includes analyzing video content captured by the video camera to identify a visual command presented to the camera by a user in the field of view of the camera, executing the visual command identified from the video content captured by the video camera, wherein executing the visual command includes setting one or more operating parameters of the video camera, determining a command completion indication corresponding to whether the command was successfully executed, and providing a command completion indication, corresponding to the command completion indication, to the user.

Abstract: Imaging device analysis systems and imaging device analysis methods are described. According to one embodiment, an imaging device analysis system includes a light source configured to output light for use in analyzing at least one imaging component of an imaging device, wherein the imaging device is configured to generate images responsive to received light, and processing circuitry coupled with the light source and configured to control the light source to optically communicate the light to the imaging device, wherein the processing circuitry is further configured to access image data generated by the imaging device responsive to the reception, by the imaging device, of the light from the light source and to process the image data to analyze an operational status of the at least one imaging component.

Abstract: An example method for processing visual communications at a video camera according to the disclosure includes analyzing video content captured by the video camera to identify a visual command presented to the camera by a user in the field of view of the camera, executing the visual command identified from the video content captured by the video camera, wherein executing the visual command includes setting one or more operating parameters of the video camera, determining a command completion indication corresponding to whether the command was successfully executed, and providing a command completion indication, corresponding to the command completion indication, to the user.

Abstract: Systems and methods are disclosed for applying sketch effects to digital images. An exemplary method may comprise comparing an original image to a filtered image. The method may also comprise rendering changes in the filtered image as lines. The method may also comprise applying connected component labeling to lines in the filtered image to reduce noise. The method may also comprise rendering the filtered image with a sketch effect after reducing noise in the filtered image.

Abstract: The shutter of a digital imaging device may be calibrated by comparing a characteristic of two separate exposures obtained from a single field of the device's imaging sensor during a single exposure cycle. Calibrating the shutter in this manner facilitates the accuracy of even very short exposure times.

Abstract: In a method of digital image compression, the spatial frequency content of a digital image is characterized using a relatively sparse sampling of data blocks from the image, and a quantization table is constructed based on the characterization of the spatial frequency content.

Abstract: A digital imaging device having a CCD sensor array with one or more fields captures both short and long exposures of a particular field during the capture of a single image frame. The short-exposure image data and the long-exposure image data from the particular field may be correlated to estimate motion within the image frame.

Abstract: Imaging devices, such as digital cameras, scanners, displays and projectors, and related processing methods that implement calibration and post-capture image processing that quickly and accurately corrects image quality resulting from lens and CCD imperfections using a minimum amount of computation and memory storage space.

Abstract: A camera has a motion detector and a sensor with a plurality of pixels. Each pixel includes shift transistors to shift charge between pixels as a function of motion sensed by the motion detector.

Abstract: A low frequency value for a pixel value is adjusted by a desired gain. A first high frequency value for the pixel value is calculated. A second high frequency value is generated for the first high frequency value. The second high frequency value is the first high frequency value adjusted by a factor. The factor is resolved as a function of the first high frequency value and the desired gain. A modified value for the pixel value is outputted, where the modified value is the adjusted low frequency value augmented by the second high frequency value.

Abstract: Ambient light analysis methods, imaging devices, and articles of manufacture are described. According to one aspect, an ambient light analysis method includes emitting light using a source, first filtering the light of the source providing first filtered light, first receiving the first filtered light using an imaging device, providing a first response of the imaging device to the first filtered light, second filtering ambient light providing second filtered light, second receiving the second filtered light using the imaging device, providing a second response of the imaging device to the second filtered light, and determining information regarding a spectral power distribution of the ambient light using the first response and the second response.

Abstract: A method for constructing a high-resolution image includes constructing a second plurality of time-sequential frames having a second resolution from a first plurality of time-sequential frames having a first resolution, the second resolution being lower than the first resolution, and constructing an image from the second plurality of time sequential frames, the image having a resolution that is higher than the second resolution.

Abstract: A method comprises detecting edges in at least a region of a captured focus image, using adjacent pixels of the region to obtain first edge detection results and filtering the first edge detection results. The first filtering comprises comparing differences in pixel contrast in the first edge detection results with a first threshold value and removing the differences in pixel contrast that are less than the first threshold value from the first edge detection results. The method further comprises detecting edges in at least the region, using non-adjacent pixels of the region to obtain second edge detection results and filtering the second edge detection results. The second filtering comprising comparing differences in pixel contrast in the second edge detection results with a second threshold value and removing the differences in pixel contrast that are less than the second threshold value from the second edge detection results.

Abstract: A method for constructing a high-resolution image includes constructing a second plurality of time-sequential frames having a second resolution from a first plurality of time-sequential frames having a first resolution, the second resolution being lower than the first resolution, and constructing an image from the second plurality of time sequential frames, the image having a resolution that is higher than the second resolution.