Name
Title | ||
|---|---|---|
Cell-Based Two-Step Scalar Deadzone Quantization for High Bit-Depth Hyperspectral Image Coding |
Abstract | ||
|---|---|---|
Remote sensing images often need to be coded and/or transmitted with constrained computational resources. Among other features, such images commonly have high spatial, spectral, and bit-depth resolution, which may render difficult their handling. This letter introduces an embedded quantization scheme based on two-step scalar deadzone quantization (2SDQ) that enhances the quality of transmitted images when coded with a constrained number of bits. The proposed scheme is devised for use in JPEG2000. It is named cell-based 2SDQ since it uses cells, i.e., small sets of wavelet coefficients within the codeblocks defined by JPEG2000. Cells permit a finer discrimination of coefficients in which to apply the proposed quantizer. Experimental results indicate that the proposed scheme is especially beneficial for high bit-depth hyperspectral images. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2015.2436438 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
embedded quantization,jpeg2000,high bit-depth images,two-step scalar deadzone quantization (2sdq),hyperspectral imaging,image reconstruction,encoding,transform coding | Iterative reconstruction,Computer vision,Transform coding,Hyperspectral imaging,Color depth,Artificial intelligence,JPEG 2000,Quantization (signal processing),Mathematics,Wavelet,Encoding (memory) | Journal |
Volume | Issue | ISSN |
PP | 99 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bartrina-Rapesta, J. | 1 | 0 | 0.34 |
| Auli-Llinas, F. | 2 | 0 | 0.34 |
| Joan Bartrina-Rapesta | 3 | 60 | 14.31 |
| Francesc Auli-Llinas | 4 | 42 | 10.68 |