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.
AI classification
Ownership
UTAH STATE UNIVERSITY
assignment · 184940794