Abstract: A multi-dimensional data enhancement system uses large kernel filtering, decimation, and interpolation, in multi-dimensions to enhance the multi-dimensional data in real-time. The multi-dimensional data enhancement system is capable of performing large kernel processing in real-time because the required processing overhead is significantly reduced. The reduction in processing overhead is achieved through the use of low pass filtering and decimation that reduces the amount of data that needs to be processed in order to generate an unsharp mask comprising low spatial frequencies that can be used to process the data in a more natural way.

Abstract: A multi-dimensional data enhancement system can be embedded within a video cable for providing enhanced video images from a video signal source to a display. The multi-dimensional data enhancement system can also be provided in a switching box that allows a user to connect multiple video signal sources to the box and then select a particular video signal source from the group. The selected signal is then enhanced by the switching box before the signal is shown on a display.

Abstract: A multi-dimensional image data enhancement system is configured to reduce the effect of blanking areas on the large kernel processing of pixel data. Thus, when pixels comprising blanking data are processed, additional blanking data can be added to the blanking data such that the additional “fictional blanking data” will occupy an area within the kernel size instead of image data in an adjacent frame or non-related areas of the current frame.

Abstract: An NTSC composite color video signal is dematrixed and its RGB components are digitized so that each image or input frame is represented by a 512.times.512 pixel array. One high resolution output field is generated for each input frame by deriving a plurality of subpixel values for each input pixel. The subpixel values for a given pixel are derived by examining the nearest neighboring pixels and by utilizing enhancement algorithms represented by data in lookup tables. Signal to noise ratio improvement is achieved by comparing each given pixel value to the values of its neighboring pixels and then deciding whether or not to keep the given pixel value or to replace it with the median of it and its nearest neighbors. The subpixel values are fed through a digital to analog converter where the appropriate synchronization is added so that the analog outputs of the three branches of the device conform to the RS 343A format.

Abstract: A video signal producing a raster-scanned image is processed in real time to enhance high frequency characteristics of the image generated by the signal, with the enhancement performed according to a local adaptive process implemented in an apparatus including one or more two-dimensional higher-order filters. Each filter provides a signal corresponding to a statistical measure of the raster image at a point in the image centered in a local area. In each case, the measure is a function of characteristics of the image within the centered area. Each filter is synchronized with the video signal to provide its respective statistical signal substantially in real time and in phase with the input video signal.