NDLI: A New On-Board Image Codec Based on Binary Tree With Adaptive Scanning Order in Scan-Based Mode

Content Provider	IEEE Xplore Digital Library
Author	Ke-Kun Huang Dao-Qing Dai
Copyright Year	1980
Abstract	Remote sensing images offer a large amount of information but require on-board compression because of the storage and transmission constraints of on-board equipment. JPEG2000 is too complex to become a recommended standard for the mission, and CCSDS-IDC fixes most of the parameters and only provides quality scalability. In this paper, we present a new, low-complexity, low-memory, and efficient embedded wavelet image codec for on-board compression. First, we propose the binary tree as a novel and robust way of coding remote sensing image in wavelet domain. Second, we develop an adaptive scanning order to traverse the binary tree level by level from the bottom to the top, so that better performance and visual effect are attained. Last, the proposed method is processed with a scan-based mode, which significantly reduces the memory requirement. The proposed method is very fast because it does not use any entropy coding and rate-distortion optimization, while it provides quality, position, and resolution scalability. Being less complex, it is very easy to implement in hardware and very suitable for on-board compression. Experimental results show that the proposed method can significantly improve peak signal-to-noise ratio compared with SPIHT without arithmetic coding and scan-based CCSDS-IDC, and is similar to scan-based JPEG2000.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	3737
Ending Page	3750
Page Count	14
File Size	972162
File Format	PDF
ISSN	01962892
Volume Number	50
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Binary trees Image coding Wavelet transforms Encoding Transform coding Remote sensing scan-based mode Adaptive scanning order binary tree coding on-board application remote sensing image compression
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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