System and method for progressively transforming and coding...

Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure

Reexamination Certificate

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C382S246000

Reexamination Certificate

active

07099516

ABSTRACT:
A system and method facilitating progressively transforming and coding digital pictures is provided. The present invention via employment of a multi-resolution lapped transform provides for progressive rendering as well as mitigation of blocking artifacts and ringing artifacts as compared to many conventional compression systems. The invention includes a color space mapper, a multi-resolution lapped transform, a quantizer, a scanner and an entropy encoder. The multi-resolution lapped transform outputs transform coefficients, for example, first transform coefficients and second transform coefficients. A multi-resolution representation can be obtained utilizing second transform coefficients of the multi-resolution lapped transform. The color space mapper maps an input image to a color space representation of the input image. The color space representation of the input image is then provided to the multi-resolution lapped transform. The quantizer receives the first transform coefficients and/or the second transform coefficients and provides an output of quantized coefficients for use by the scanner and/or the entropy encoder. The scanner scans the quantized coefficients in order to produce a one-dimensional vector for use by the entropy encoder. The entropy encoder encodes the quantized coefficients received from the quantizer and/or the scanner resulting in data compression.

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Henrique S. Malvar, “Lapped Biorthogonal Transforms for Transform Coding with Reduced Blocking and Ringing Artifacts”, pp. 1-4.
Henrique S. Malvar, “Biorthogonal and Nonuniform Lapped Transforms for Transform Coding with Reduced Blocking and Ringing Artifacts”, Oct. 20, 1997, pp. 1-29.
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B. Deknuydt, et al., “Color Space Choice for Nearly Reversible Image Compression”, 1300/SPIE Vol. 1818 Visual Communications and Image Processing, Nov. 1992, Boston, MA.

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