skip to main content

Title: Compression embedding

A method and apparatus for embedding auxiliary information into the digital representation of host data created by a lossy compression technique and a method and apparatus for constructing auxiliary data from the correspondence between values in a digital key-pair table with integer index values existing in a representation of host data created by a lossy compression technique. The methods apply to data compressed with algorithms based on series expansion, quantization to a finite number of symbols, and entropy coding. Lossy compression methods represent the original data as ordered sequences of blocks containing integer indices having redundancy and uncertainty of value by one unit, allowing indices which are adjacent in value to be manipulated to encode auxiliary data. Also included is a method to improve the efficiency of lossy compression algorithms by embedding white noise into the integer indices. Lossy compression methods use loss-less compression to reduce to the final size the intermediate representation as indices. The efficiency of the loss-less compression, known also as entropy coding compression, is increased by manipulating the indices at the intermediate stage. Manipulation of the intermediate representation improves lossy compression performance by 1 to 10%.
Authors:
 [1] ;  [1] ;  [1]
  1. (Los Alamos, NM)
Publication Date:
OSTI Identifier:
871696
Report Number(s):
US 5778102
DOE Contract Number:
W-7405-ENG-36
Resource Type:
Patent
Research Org:
Los Alamos National Laboratory (LANL), Los Alamos, NM
Country of Publication:
United States
Language:
English
Subject:
compression; embedding; method; apparatus; embedding; auxiliary; information; digital; representation; host; data; created; lossy; compression; technique; method; apparatus; constructing; auxiliary; data; correspondence; values; digital; key-pair; table; integer; index; values; existing; representation; host; data; created; lossy; compression; technique; methods; apply; data; compressed; algorithms; based; series; expansion; quantization; finite; symbols; entropy; coding; lossy; compression; methods; represent; original; data; sequences; blocks; containing; integer; indices; redundancy; uncertainty; value; unit; allowing; indices; adjacent; value; manipulated; encode; auxiliary; data; included; method; improve; efficiency; lossy; compression; algorithms; embedding; white; noise; integer; indices; lossy; compression; methods; loss-less; compression; reduce; final; size; intermediate; representation; indices; efficiency; loss-less; compression; entropy; coding; compression; increased; manipulating; indices; intermediate; stage; manipulation; intermediate; representation; improves; lossy; compression; performance; 10; compression methods; compression methods; auxiliary information; compression technique; compression technique; host data; host data; auxiliary data; auxiliary data; lossy compression; lossy compression; lossy compression; lossy compression; lossy compression; lossy compression; original data; embedding auxiliary; digital representation; series expansion; compression embedding; final size; data created; data created; white noise; intermediate stage; algorithms based; data compressed /382/