.png){kind=icon}
Return
Cell-Based Two-Step Scalar Deadzone Quantization for High Bit-Depth Hyperspectral Image Coding
.png){kind=icon}
OA
AI
DOI：10.1109/LGRS.2015.2436438.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Embedded quantization
high bit-depth images
JPEG2000
two-step scalar deadzone quantization (2SDQ)
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
16.4
Papers:
1.0W
Citations:
5.1K
Organization
Cited Papers
ShareSaveShareSaveOne-pot synthesis of graphene/zinc oxide by microwave irradiation with enhanced supercapacitor performance.png)
RSC Advances
RSC AdvancesIF0
PREAI
ShareSave
View more