Patent ReferencesResolution conversion of bitmap images using error term averaging Tonal conversion method for pictures Method of and circuit arrangement for changing the resolution of binary pseudo-halftone pictures Image processing system with designatable output location and output resolution control Reproduction of halftone original with reduced moire Method for translating a plurality of printer page description languages Method and apparatus for mapping printer resolution using lock-up-tables Resolution conversion of bitmap images Bit-map image resolution converter Resolution conversion with simulated multi-bit gray InventorsAssigneeApplicationNo. 451376 filed on 05/26/1995US Classes:358/3.21, Adaptive multi-level image reproduction345/428, Adjusting level of detail358/1.13, Emulation or plural modes358/448, Image processing382/209, Template matching (e.g., specific devices that determine the best match)382/260, Image filter382/298To change the scale or size of an imageExaminersPrimary: Frahm, EricAttorney, Agent or FirmForeign Patent References
International ClassesH04N 001/40G06K 009/62 G06K 009/42 G06K 015/00 AbstractA method and apparatus for converting the resolution of an input image to a higher resolution that is a noninteger multiple of the input resolution. The method and apparatus employ either an interlocked or noninterlocked clustering arrangement of output pixels in order to assign to each output pixel a reference value determined from the signal levels of the input image. In addition, the method and apparatus include a template-based enhancement filter to further refine modify or alter the assigned signal level prior to its output as a higher resolution image.Other References
Field of SearchRecording apparatusSpecific signal processing circuitry Signal enhancing Image processing Specific image-processing circuitry Moire reduction Halftone processing Matrix Halftone screening Local neighborhood operations (e.g., 3x3 kernel, window, or matrix operator) Template matching (e.g., specific devices that determine the best match) Spatial filtering (e.g., holography) IMAGE ENHANCEMENT OR RESTORATION Dilation or erosion (e.g., opening or closing) Image filter Adaptive filter Median filter Highpass filter (i.e., for sharpening or enhancing details) Lowpass filter (i.e., for blurring or smoothing) Recursive filter Edge or contour enhancement To change the scale or size of an image Raising or lowering the image resolution (e.g., subpixel accuracy) Interpolation Morphological operations (i.e., local neighborhood operations) | |