Name
Title | ||
|---|---|---|
Multilevel wavelet feature statistics for efficient retrieval, transmission, and display of medical images by hybrid encoding |
Abstract | ||
|---|---|---|
Many common modalities of medical images acquire high-resolution and multispectral images, which are subsequently processed, visualized, and transmitted by subsampling. These subsampled images compromise resolution for processing ability, thus risking loss of significant diagnostic information. A hybrid multiresolution vector quantizer (HMVQ) has been developed exploiting the statistical characteristics of the features in a multiresolution wavelet-transformed domain. The global codebook generated by HMVQ, using a combination of multiresolution vector quantization and residual scalar encoding, retains edge information better and avoids significant blurring observed in reconstructed medical images by other well-known encoding schemes at low bit rates. Two specific image modalities, namely, X-ray radiographic and magnetic resonance imaging (MRI), have been considered as examples. The ability of HMVQ in reconstructing high-fidelity images at low bit rates makes it particularly desirable for medical image encoding and fast transmission of 3D medical images generated from multiview stereo pairs for visual communications. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1155/S1110865703211203 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
and phrases: high fidelity hybrid encoding,efficient retrieval of high-resolution medical images.,residual scalar encoding,multiresolution vector quantization,medical image encoding,subsampled images compromise resolution,hybrid encoding,medical image,hybrid multiresolution vector quantizer,multilevel wavelet feature statistic,multilevel wavelet feature statistics,low bit rate,multiresolution wavelet-transformed domain,global codebook,reconstructed medical image,efficient retrieval,well-known encoding scheme,high resolution | Computer vision,Computer science,Multispectral image,Vector quantization,Visual communication,Artificial intelligence,Low bit,Quantization (signal processing),Encoding (memory),Wavelet,Codebook | Journal |
Volume | Issue | ISSN |
2003, | 5 | 1687-6180 |
Citations | PageRank | References |
4 | 0.62 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| shuyu yang | 1 | 68 | 13.70 |
| Sunanda Mitra | 2 | 254 | 45.17 |
| Enrique Corona | 3 | 38 | 4.31 |
| Brian Nutter | 4 | 101 | 20.24 |
| D. J. Lee | 5 | 4 | 0.62 |