Richard G. Hier - Poway CA, US Terrence J. Coleman - San Diego CA, US
Assignee:
Digivision, Inc. - San Diego CA
International Classification:
G06K 9/64
US Classification:
382279, 382274, 348625
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.
Systems And Methods For Image Enhancement In Multiple Dimensions
Richard Thistle - Encinitas CA, US Richard Hier - Poway CA, US Randy Millar - El Cajon CA, US Terry Coleman - San Diego CA, US David Eccles - Valley Center CA, US Melissa Graham - San Diego CA, US
Assignee:
Digivision, Inc. - San Diego CA
International Classification:
G06K 9/40 G06K 9/64 H04N 9/74 G09G 5/00
US Classification:
382254, 382264, 382279, 348590, 345615
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.
Systems And Methods For Image Enhancement In Multiple Dimensions
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.
Systems And Methods For Image Enhancement In Multiple Dimensions
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.
Apparatus And Method For Enhancement Of Image Viewing By Modulated Illumination Of A Transparency
Sherman E. DeForest - Del Mar CA Saied Benyamin - Solana Beach CA Richard G. Hier - Poway CA Robert A. Kruger - Salt Lake City UT Robert L. Power - Salt Lake City UT Gregory W. Schmidt - Olivenhain CA William A. Schmidt - Encinitas CA
Assignee:
Digivision, Inc. - San Diego CA
International Classification:
G06K 940
US Classification:
382 54
Abstract:
The human-eye viewing of an image on a transparency is enhanced by adaptively modulating illumination of the transparency with an unsharp, complementary representation of the image.
Real-Time, Localized Enhancement Of A Video Image Using Separable Two-Dimensional Filters
Richard G. Hier - San Diego CA Gregory W. Schmidt - Leucadia CA
Assignee:
Digivision, Inc. - San Diego CA
International Classification:
G06G 700 H04N 514
US Classification:
364825
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.
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Richard Hier (1954-1958), Leon Shore (1942-1946), Taj Utsey (1990-1994), Danae Steadley (2000-2004), William Garcia (1997-2001), Mike Lopuszanski (1990-1994)