Abstract: A method and apparatus for pixel-by-pixel motion and/or still video data compression and decompression. Each pixel may be encoded as static, new, or direcionally estimated. Directionally estimated pixels are encoded with a value corresponding to a direction in a reduced set of substantially unique directions, wherein each direction may correspond to one or a combination of pixels. Directionally estimated pixels are further encoded using an adaptive variable length code (VLC), while static pixels and new pixels are encoded using run-lenth (RL) coding and delta coding techniques, respectively. Performance parameters, such as compression ratio, quality, etc., may be monitored to dynamically and adaptively update compression thresholds. Pixel processing may be performed in a plurality of directions to improve performance.

Abstract: A method and apparatus to achieve relatively high quality audio data compression/decompression, while achieving relatively low bit rates (e.g., high compression ratios). According to one aspect of the invention, a residual signal is subband decomposed and adaptively quantized and encoded to capture frequency information that may provide higher quality compression and decompression relative to transform encoding techniques. According to a second aspect of the invention, an input audio signal is compared to an encoded signal based on the input audio signal to detect and reduce, as necessary, distortion in the encoded signal or portions thereof.

Abstract: A method and apparatus for performing video compression and decompression using dynamic quantization and/or encoding. According to one aspect of the compression method, an image is recursively filtered into its constituent components each represented by a matrix of coefficients. Next, the level of correlation of a first of the matrices of coefficients is determined. Based on the level of correlation of this first coefficient matrix, one of a first quantization technique and a second quantization technique is selected. The first coefficient matrix is then quantized using the selected quantization technique. According to another aspect of the compression method, an image is digitally filtered into its constituent components, each represented by a matrix of coefficients. At least certain matrices are quantized to generated a first quantized matrix.