Fujitsu Corporation

Motoyuki Morita

Shigeki Furuta

Hitoshi Matsumoto

Satoshi Sonohara

Disclosed is an image processing system including an image input unit, an extraction unit, a plurality of compression process parts and a selection unit to compress a 1-frame image down to a less amount of color information. The image input unit takes in a plurality of frame images per frame. The extraction unit extracts each of the taken-in frame images per unit area of a designated size. The plurality of compression process parts effects compression processes different from each other with respect to pels contained in each unit area. The selection unit selects one compression process part from the plurality of compression process parts for compressing the unit area of the designated size.

Image compression method and image processing system

An image data compression method in which reductions in data amount are achieved by deleting some pixel data. Compression is achieved by performing a reading step to read an image as plural pixel data and a deleting step to delete some of the pixel data. A prediction error calculating step calculates a prediction error that represents the difference between the color value pixel data of a pixel in question and the predicted color value thereof, as predicted by a prescribed prediction method from the pixel data of a pixel adjacent thereto. An area classifying step classifies the pixel data of the entire image area into either an abrupt color change areas type in which the prediction error is large or a nonabrupt color change area in which the prediction error is small. The deleting step is performed only on the pixel data classified in the nonabrupt color change area; deleted-position information is appended to the non-deleted pixel data that indicates the position of a pixel whose data has been deleted. This improves the quality of reproduction, since no pixel data are deleted where large errors would be expected to occur in reproduction.

Image data compression method involving deleting data in areas where

The method comprises a read-out step for reading out the image data from a predetermined recording medium according to a frame unit; an image outputting step for image-outputting the frame data read out in the read-out step; a time measuring step for measuring a reproductive processing time taken from a start of reading out in the read-out step to an end of outputting of an image in the image outputting step according to a frame unit; a predicting step for predicting an image output time of next frame data to be reproduced next to the frame data on the basis of the reproductive processing time measured in the time measuring step; a detecting step for detecting an image output time set per frame data from the image data; and a determining step for determining next frame data to be reproduced next to the frame data in accordance with the image output time predicted in the predicting step and the image output time detected in the detecting step.

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Tokyo, Japan

Motoyuki Morita