Stuart E Nixon

Author:

Stuart Nixon

ISBN #:

0877010846

Author:

Stuart Nixon

ISBN #:

0883653044

US Patent:

6442298, Aug 27, 2002

Filed:

Oct 26, 2000

Appl. No.:

09/697929

Inventors:

Stuart William Nixon - San Diego CA

Assignee:

Earth Resource Mapping, Limited - West Perth

International Classification:

G06K 936

US Classification:

382248, 382240

Abstract:

Image transformation and selective inverse transformation is implemented by performing DWT-based transformation on very large images using single or multi-CPU architectures without requiring large amounts of computer memory. The compression of a large image I(x,y) is accomplished by defining L=(log2(x)-log2(Filter_size)) DWT levels, each level L containing pre-allocated memory buffers sufficient to hold (Filter_size+1) lines of x/2n pixels length of DWT subbands. For each line of I(x,y), in a recursive fashion through levels L to L , the level DWT is computed and the level subband wavelets are compressed and stored or transmitted as required. The recursive DWT for each level of each line of I(x,y) results in a seamless DWT for I(x,y). The continual transmission or storage of compressed imagery occurs where it is desirable to transmit high volumes of imagery through limited transmission bandwidth or to limited disk storage, and is accomplished by compression and transmission or storage of each subband wavelet transformed image line using wavelet quantization and encoding before transmission or storage. The selective decompression of imagery is accomplished by a recursive reverse DWT reconstruction on the desired subset of each image line from the desired subset of lines from a compressed image stored on disk or received from continual transmission, for only as many levels as required to result in the required level of detail view for the image subset to be accessed or viewed.

US Patent:

6633688, Oct 14, 2003

Filed:

Apr 28, 2000

Appl. No.:

09/560368

Inventors:

Stuart William Nixon - San Diego CA
Simon John Cope - Marangaroo, AU
Mark John Sheridan - Kewdale, AU

Assignee:

Earth Resource Mapping, Inc. - San Diego CA

International Classification:

G06K 954

US Classification:

382305, 709203

Abstract:

A client/server system serves imagery to users with speed, efficiency, and desirable functionality. Clients are allocated the means to determine the image data necessary to generate views on an image. The clients issue requests for such necessary image data to servers who service the requests and send requested image data to the clients who then generate the views. The system responds quickly to changes of views resulting form user actions such as panning or zooming by enabling clients to determine which image data is needed that has not already been served and requesting service of only that data. Clients are also enabled to issue requests to cancel service of data previously requested, but unserved and no longer needed.

US Patent:

62018973, Mar 13, 2001

Filed:

Nov 9, 1998

Appl. No.:

9/188833

Inventors:

Stuart William Nixon - San Diego CA

Assignee:

Earth Resource Mapping - San Diego CA

International Classification:

G06K 936
G06K 946

US Classification:

382248

Abstract:

Image transformation and selective inverse transformation is implemented by performing DWT-based transformation on very large images using single or multi-CPU architectures without requiring large amounts of computer memory. The compression of a large image I(x,y) is accomplished by defining L=(log2(x)-log2(Filter_size)) DWT levels, each level L. sub. n containing pre-allocated memory buffers sufficient to hold (Filter_size+1) lines of x/2n pixels length of DWT subbands. For each line of I(x,y), in a recursive fashion through levels L. sub. 0 to L. sub. n, the level DWT is computed and the level subband wavelets are compressed and stored or transmitted as required. The recursive DWT for each level of each line of I(x,y) results in a seamless DWT for I(x,y). The continual transmission or storage of compressed imagery occurs where it is desirable to transmit high volumes of imagery through limited transmission bandwidth or to limited disk storage, and is accomplished by compression and transmission or storage of each subband wavelet transformed image line using wavelet quantization and encoding before transmission or storage. The selective decompression of imagery is accomplished by a recursive reverse DWT reconstruction on the desired subset of each image line from the desired subset of lines from a compressed image stored on disk or received from continual transmission, for only as many levels as required to result in the required level of detail view for the image subset to be accessed or viewed.