NDLI: Logarithmical hopping encoding: a low computational complexity algorithm for image compression

Content Provider	IET Digital Library
Author	Aranda, Jose Javier García Casquete, Marina González Cueto, Mario Cao Salmerón, Joaquín Navarro Vidal, Francisco González
Abstract	LHE (logarithmical hopping encoding) is a computationally efficient image compression algorithm that exploits the Weber–Fechner law to encode the error between colour component predictions and the actual value of such components. More concretely, for each pixel, luminance and chrominance predictions are calculated as a function of the surrounding pixels and then the error between the predictions and the actual values are logarithmically quantised. The main advantage of LHE is that although it is capable of achieving a low-bit rate encoding with high quality results in terms of peak signal-to-noise ratio (PSNR) and image quality metrics with full-reference (FSIM) and non-reference (blind/referenceless image spatial quality evaluator), its time complexity is O(n) and its memory complexity is O(1). Furthermore, an enhanced version of the algorithm is proposed, where the output codes provided by the logarithmical quantiser are used in a pre-processing stage to estimate the perceptual relevance of the image blocks. This allows the algorithm to downsample the blocks with low perceptual relevance, thus improving the compression rate. The performance of LHE is especially remarkable when the bit per pixel rate is low, showing much better quality, in terms of PSNR and FSIM, than JPEG and slightly lower quality than JPEG-2000 but being more computationally efficient.
Starting Page	643
Ending Page	651
Page Count	9
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 8, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2014.0421
Journal	IET Image Processing
Publisher	The Institution of Engineering and Technology
Publisher Date	2015-08-01
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Blind Image Spatial Quality Evaluator Chrominance Predictions Colour Component Predictions Compression Rate Computational Complexity Computer Vision And Image Processing Technique Data Compression FSIM Full-reference Image And Video Coding Image Blocks Image Coding Image Colour Analysis Image Compression Algorithm Image Quality Metrics LHE Logarithmical Hopping Encoding Logarithmical Quantiser Low-bit Rate Encoding Luminance Predictions Output Code Peak Signal-to-noise Ratio Perceptual Relevance Preprocessing Stage PSNR Referenceless Image Spatial Quality Evaluator Weber-Fechner Law
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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