METHOD FOR IMAGING CODING BY RATE-DISTORTION ADAPTIVE ZERO-TREE-BASED RESIDUAL VECTOR QUANTIZATION AND SYSTEM FOR EFFECTING SAME

Patent №

US 7,437,010

Granted

2008-10-14

Filed 2006

Owner

UTAH STATE UNIVERSITY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11515227

Methods and systems for encoding, transmitting and decoding digital images by rate-distortion adaptive zerotree-based residual vector quantization are disclosed. A method of the invention includes receiving a digital image, transforming the digital image into the wavelet domain generating a pyramid hierarchy, losslessly encoding a top LL subband from the pyramid hierarchy, encoding other subbands by vector quantization based on a zerotree insignificance prediction, generating an encoded image from the lossless encoding and vector quantization encoding, transmitting the encoded image along a communications channel, receiving the encoded image transmitted along the communications channel, reconstructing a zerotree from the encoded image, vector quantization decoding subbands from the encoded image other than a top LL subband, losslessly decoding the top LL subband from the encoded image, reverse wavelet transforming the top LL subband and the vector quantization decoded subbands and outputting a decoded image.

VisionG06T 9/008H04N 19/103H04N 19/12H04N 19/147H04N 19/187H04N 19/1883H04N 19/63H04N 19/635+3 more

AI classification

Vision0.91
Planning0.35
Evolutionary computation0.16
Machine learning0.00
AI hardware0.00
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

UTAH STATE UNIVERSITY

assignment · 184940794

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