Kyocera Document Solutions Inc.

Kyocera Mita Corporation

Accelerated Networks

Alfred Abkarian

Dongpei Su

Kenneth Allen Schmidt

Michael M Chang

Sheng Li

Stephen L Schafer

Kendrick Esperanza Wong

Larry Lubman

Guo Li

Robert Westervelt

Lakhbir Gandhi

Mark Raley

Richard Haydt

Alexander Horvath

An example embodiment may involve obtaining an m&#xd7;n pixel cell from an input image. Each of the m&#xd7;n pixels in the m&#xd7;n pixel cell may be associated with at least one color value. An m&#xd7;n attribute cell may be determined, elements of which may be associated in a one-to-one fashion with respective pixels in the m&#xd7;n pixel cell. The m&#xd7;n pixel cell may be compressed in a lossy fashion, and the m&#xd7;n attribute cell may be compressed in a lossless fashion. Compression of the m&#xd7;n pixel cell may be based on at least part of the m&#xd7;n attribute cell. An interleaved representation of the compressed m&#xd7;n pixel cell and the compressed m&#xd7;n attribute cell may be written to an output medium.

Digital image attribute plane compression

An example embodiment may involve obtaining an a&#xd7;b pixel macro-cell from an input image. The a&#xd7;b pixel macro-cell may contain 4 non-overlapping m&#xd7;n pixel cells. The a&#xd7;b pixels in the a&#xd7;b pixel macro-cell may have respective color values and may be associated with respective object type tags. The example embodiment may also include selecting a compression technique to either (i) compress the a&#xd7;b pixel macro-cell as a whole, or (ii) compress the a&#xd7;b pixel macro-cell by compressing each of the 4 non-overlapping m&#xd7;n pixel cells separately. The example embodiment may further include compressing the a&#xd7;b pixel macro-cell according to the selected compression technique, and writing a representation of the compressed a&#xd7;b pixel macro-cell to a computer-readable output medium.

Digital image color plane compression

An example embodiment may involve obtaining an a&#xd7;b pixel macro-cell from an image with one or more color planes, and an a&#xd7;b attribute macro-cell. The a&#xd7;b pixel macro-cell may contain 4 non-overlapping m&#xd7;n pixel cells, and the a&#xd7;b attribute macro-cell may contain 4 non-overlapping m&#xd7;n attribute cells. The pixels in the a&#xd7;b pixel macro-cell may be associated with respective color values. The example embodiment may also involve determining 4 attribute output values associated respectively with the 4 non-overlapping m&#xd7;n attribute cells. The example embodiment may further involve determining 1 to 4 color-plane output values for the non-overlapping m&#xd7;n pixel cells, and writing an interleaved representation of the 4 attribute output values and the determined color-plane output values.

Interleaved encoding of compressed attribute and color planes

An m&#xd7;n pixel cell may be obtained from an input image, each of the pixels having a respective color value. A characterization of the cell may be determined, including determining a lowest color value and a highest color value of the pixels cell. A difference between the highest color value and the lowest color value may be calculated. If the difference is less than or equal to a threshold difference, an output color value inclusively between the highest color value and the lowest color value may be selected, and a first representation of the output color value may be written to an output medium. If the difference is greater than the threshold difference, multiple output color values may be selected, and a second representation of the multiple output color values may be written to the output medium.

Cell-based compression of digital images

A system and method for trapping in electrophotographic color printing and related technologies for printing or display in which the final image is an overlay of multiple components subject to alignment errors. Trapping is based on the cyan (C), magenta (M), and black (K) planes. There are four steps as follows: detect object edges on each of the four color planes; detect coincident and opposing edge transitions on each pair of planes (CM, CK, and KM); determine which plane to trap, i.e., to extend object across edge; and generate trap on that plane using a simple trap generation rule and a single trap generation rule.

System and method for reducing visibility of registration errors in an image to be printed using a digital color printer by convolution with a laplacian kernel

A network system is described having multiple network components. The multiple network components include at least one central office (CO) and at least one customer premise equipment (CPE) coupled to the at least one CO. One of either the CO or CPE captures a clock, generates a reference clock, and sends the clock to the remainder of the multiple network components to ensure synchronous operation.

Growing community of inventors

El Segundo, CA, United States of America

Alfred Abkarian