Abstract: A method and system for representing stereoscopic motion imagery data having a right eye spatial data set and a left eye spatial data set. Each member of the left eye data set has a corresponding member in the right eye data set. The method determines correlated data and uncorrelated data between at least one left eye member and corresponding right eye member and compresses the correlated and the uncorrelated data. The method then forwards the compressed correlated and uncorrelated data at or below a predetermined channel capacity.

Abstract: An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image.

Abstract: An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image.

Abstract: A method of processing image data for display on a pixelated imaging device is disclosed. The method comprises: pre-compensation filtering an image input to produce pre-compensation filtered pixel values, the pre-compensation filter having a transfer function that approximates the function that equals one divided by a pixel transfer function; and displaying the pre-compensation filtered pixel values on the pixelated imaging device. In another disclosed method, the method further comprises: pre-compensation filtering an image input for each of a plurality of superposed pixelated imaging devices, at least two of which are unaligned, to produce multiple sets of pre-compensation filtered pixel values; and displaying the multiple pre-compensation filtered pixel values on the plurality of superposed pixelated imaging devices.

Abstract: A system for scaling resolution of an input stream includes an input for receiving the image input stream which passes the image input stream to a frame buffer. The frame buffer holds one or more image frames such that a router can decorrelate the image input stream. Decorrelation may be accomplished by spatially transforming the frames of the input image stream into frequency components, temporally transforming frames of the input image stream or through color component decomposition. The decorrelated components are each passed to a processor which performs quantization and entropy encoding of the components. Each of the compressed components are passed to memory for storage. Thus, real-time throughput can be increased above the rate of the individual processing elements through decorrelation.

Abstract: A method for optimizing signal quantification comprising applying reversible filters to the signal in order to pre-quantify the signal as a continuous function of the frequency domain; pre-processing the signal in order to place it in the proper colorspace and frequency domain; applying subband transforms to the signal in order to split the signal into frequency regions; and entropy coding the signal. Additionally filters and steps are also provided that enable improved quantification of the signal resulting in improved compression of the resulting signal.

Abstract: An image processing scheme that minimizes the amount of data required to process an input image signal but which maintains a guaranteed desired image quality level is disclosed. Transformation and quantification removes redundant data from the input image signal and provides a symbol set that is represented by a determined total data content. A peak data rate is determined from the total data content and any encoding overhead. The quality of image processing is determined based upon the transformation and quantification settings. Quality priority processing ensures that the available data rate is at least equal to the peak data rate. Transformation and quantification can be adjusted where a determination is made that the peak data rate exceeds the available data processing rate, or where the determined quality level does not exceed the selected quality level.

Abstract: An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image.

Abstract: A quantified symbol stream is sampled, using the quantified symbols prior to the current symbol, to generate a modeling value that characterizes the stream. The modeling value is used to generate, or retrieve, a probability function that provides the probability that the current symbol will be the next symbol in the symbol stream. The probability given by the probability function is then used to select the used to represent the data. The encoded symbol is later decoded using the characteristics of the code, and an identical probability function, to determine the value of the original quantified symbol.

Abstract: An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image.