Image compression based on tiled wavelet-like transform using edge and non-edge filters
October 12, 2020. 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 ReferencesExtended definition widescreen television signal processing system Dynamic bit allocation for three-dimensional subband video coding Method and apparatus for synthesizing subband video images Method and system for a user to manually alter the quality of a previously encoded video sequence Recursively splitting the low-frequency band with successively fewer filter taps in methods and apparatuses for sub-band encoding, decoding, and encoding and decoding Storage device for storing hierarchically coded data and access method thereof Picture encoding device and method thereof, picture decoding device and method thereof, and recording medium Compression and decompression system with reversible wavelets and lossy reconstruction Method for low complexity low memory inverse dithering Joint coding method for images and videos with multiple arbitrarily shaped segments or objects InventorsAssigneeApplicationNo. 687467 filed on 10/12/2000US Classes:382/240, Pyramid, hierarchy, or tree structure382/239, Adaptive coding (i.e., changes based upon history, activity, busyness, etc.)382/251, Quantization382/264Lowpass filter (i.e., for blurring or smoothing)ExaminersPrimary: Johnson, Timothy M.Attorney, Agent or FirmForeign Patent References
International ClassesG06K 009/36G06K 009/46 AbstractAn image processing system tiles an image data array. Each tile of image data is processed by applying a family of transform layers to the tile of image data so as to generate successive sets of transform coefficients. Each set of transform coefficients include edge coefficients positioned at outside boundaries of the set of transform coefficients and non-edge coefficients positioned at interior locations of the set of transform coefficients. The transform filters include a short edge transform filter that is applied to image data at boundaries of the tile and to coefficients positioned at and near boundaries of each of the earlier sets of transform coefficients so as to generate the edge coefficients, and a long interior filter that is applied to image data at interior locations of the tile and to coefficients at interior locations of the earlier sets of transform coefficients so as to generate the non-edge coefficients.Field of SearchIMAGE COMPRESSION OR CODINGPyramid, hierarchy, or tree structure Adaptive coding (i.e., changes based upon history, activity, busyness, etc.) Quantization Image filter Highpass filter (i.e., for sharpening or enhancing details) Lowpass filter (i.e., for blurring or smoothing) Recursive filter Edge or contour enhancement Minimize discontinuities at boundaries of image blocks (i.e., reducing blocking effects or effects of wrap-around) Adaptive Quantization Subband coding Wavelet Subband encoding (e.g., low horizontal/low vertical frequency, low horizontal/high vertical frequency) Individual processing of different parts of image frequency band (e.g., sum and difference, high band/low band) Individual processing of different parts of image frequency band (e.g., sum and difference, high band/low band) | |
