Method for compressing image signals

• US 5,086,489 A
• Filed: 07/03/1991
• Issued: 02/04/1992
• Est. Priority Date: 04/20/1989
• Status: Expired due to Term

• Current Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Original Assignee: Fuji Photo Film Co Limited (Fujifilm Holdings Corporation)
• Inventors: Shimura, Kazuo
• Primary Examiner(s): Razavi, Michael
• Assistant Examiner(s): COUSO, YON JUNG
• Application Number:
  US07/726,133
• Time in Patent Office: 216 Days
• Field of Search: 382/56, 382/6, 382/47, 382/44, 382/45, 382/42, 250/555, 358/445, 358/428, 358/137, 358/138, 358/136, 364/413.16, 364/413.18
• US Class Current: 382/238
• CPC Class Codes: H04N 19/30 using hierarchical techniques, e.g. scalability H04N19/63 takes precedence
• CPC Class Codes: H04N 19/90 using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
• CPC Class Codes: H04N 19/98 Adaptive-dynamic-range coding [ADRC]
• CPC Class Codes: H04N 7/125 the signal segment being a picture element

Abstract

Original image signal components representing an image are subjected to component number decreasing processing wherein, along each of block lines which are set in parallel on an image, blocks each comprising a single picture element in the image are set at predetermined intervals, or blocks each comprising several picture elements are set continuously or at predetermined intervals, such that the phases of the blocks located along a block line are shifted from the phases of the blocks located along a neighboring block line. Only the respresentative image signal components determined from the image signal components representing the picture elements in the respective blocks are sampled as new image signal components. The new image signal components are classified into main components, which have been sampled at appropriate sampling intervals, and interpolated components other than the main components. The interpolated components are subjected to interpolation prediction encoding processing based on the main components.

Claims

1. A method for compressing an image signal, which comprises the steps of:

i) subjecting an original image signal made up of a series of image signal components representing an image to a component number decreasing process which comprises the steps of;

a) electronically superimposing a plurality of block lines in parallel on an image, each block comprising a plurality of picture elements in said image, wherein each said picture element is associated with an image signal component, arranging said blocks continuously or at predetermined intervals, shifting said blocks such that the phases of the blocks located along a block line are shifted by at least a distance equal to a length of a single picture element from the phases of the blocks located along a neighboring block line such that said neighboring block lines are out of phase, and

b) combining said image signal components that are associated with said plurality of picture elements within each said block through a predetermined process thereby determining a representative image signal component for each said block, said representative image signal component being indicative of all image signal components in each said block,

ii) classifying said representative image signal components, which have been determined from said component number decreasing processing, into main components, which have been sampled at appropriate sampling intervals, and interpolated components other than said main components, and

iii) subjecting said interpolated components to interpolation prediction encoding processing based on said main components.

2. A method as defined in claim 1 wherein interpolation prediction errors obtained during said interpolation prediction encoding processing are encoded into Huffman codes.

3. A method as defined in claim 1 wherein said main components are subjected to previous value prediction processing.

4. A method as defined in claim 3 wherein previous value prediction errors obtained during said previous value prediction processing are encoded into Huffman codes.

5. A method as defined in claim 1 wherein said image is a radiation image.

6. A method as defined in claim 5 wherein said radiation image is stored on a stimulable phosphor sheet.

7. The method for compressing an image signal as claimed in claim 1, wherein said predetermined process is a mean reduction sampling process, wherein said representative image signal component for each said block is equal to a mean value of the values of said image signal components representing said plurality of picture elements in each said block.