Compression and decompression system with reversible wavelets and lossy reconstruction
September 30, 2017. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent ReferencesError concealment in digital television signals Method and apparatus for bit rate reduction System and method of digital compression and decompression using scaled quantization of variable-sized packets Method and apparatus for video image compression and decompression using boundary-spline-wavelets Method and apparatus for compressing and decompressing image data using two dimensional orthogonal transform with improved compression rate Image noise reduction system using a wiener variant filter in a pyramid image representation Method and system for filtering compressed video images Method and apparatus for selecting an adaptive filter for image data Single bus architecture supporting subsystems of various criticality levels Patent #: 5841969 InventorsAssigneeApplicationNo. 940831 filed on 09/30/1997US Classes:382/233, Including details of decompression375/240.11, Subband coding382/238, Predictive coding382/240, Pyramid, hierarchy, or tree structure382/248, Transform coding382/251QuantizationExaminersPrimary: Au, AmeliaAssistant: Johnson, Timothy M. Attorney, Agent or FirmForeign Patent References
International ClassesG06K 009/36G06K 009/46 AbstractA method and apparatus for encoding and decoding data that includes generating transformed signals in response to input data. In one embodiment, the transformed signals are generated using a reversible wavelet transform. The present invention also includes a method and apparatus for compressing the transform signals into data representing a losslessly compressed version of the input data. In one embodiment, the present invention decomposes the input data using reversible wavelet transforms.Field of SearchLocal neighborhood operations (e.g., 3x3 kernel, window, or matrix operator)IMAGE COMPRESSION OR CODING Including details of decompression Predictive coding Adaptive coding (i.e., changes based upon history, activity, busyness, etc.) Pyramid, hierarchy, or tree structure Contour or chain coding (e.g., Bezier) Transform coding Quantization Error diffusion or dispersion Edge or contour enhancement Minimize discontinuities at boundaries of image blocks (i.e., reducing blocking effects or effects of wrap-around) Minimize jaggedness in edges (e.g., anti-aliasing) Artifact removal or suppression (e.g., distortion correction) Interpolation Adaptive coding Tree structure | |
