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Image-independent optimal non-negative integer bit allocation technique for the DCT-based image transform coders

Content Provider	IET Digital Library
Author	Thakur, Vikrant Singh Thakur, Kavita Gupta, Shubhrata Rao, Kamisetty R.
Abstract	The optimum non-negative integer bit allocation (ONIBA) is an important technique, which provides optimal quantisation of transform coefficients for the image transform coders (ITCs). However, the existing ONIBA algorithms are still not popular for the discrete cosine transform (DCT)-based ITCs, due to their image-dependent nature and additional side information requirements. Therefore, this study presents a novel image-independent ONIBA (IIONIBA) technique to achieve efficient quantisation for the DCT-ITCs. For the development of the proposed IIONIBA technique, initially, an image-dependent ONIBA algorithm is proposed, which is then mapped into desired image-independent solution via utilisation of a prepared combined image and proposed modified step size mapping technique. Thereafter, a new lookup table for the elements of quantisation tables, obtained from the proposed IIONIBA technique, is established using non-linear regression analysis, to reduce the problem of additional side information requirements. Several experiments are performed to evaluate the performance of the proposed IIONIBA technique based on the visual quality assessment of reconstructed images and the image quality indexes peak signal to noise ratio (PSNR) and mean structural similarity index (MSSIM). The results show that the proposed IIONIBA technique delivers better quantisation and provides significant gains in the image quality indexes as compared to the recent quantisation techniques.
Starting Page	11
Ending Page	24
Page Count	14
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6302
Journal	IET Image Processing
Publisher Date	2019-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Signal Processing Additional Side Information Requirements Coders Computational Complexity Computer Vision And Image Processing Technique Data Compression DCT-based Image DCT-ITCs Desired Image-independent Solution Discrete Cosine Transform Efficient Quantisation Existing ONIBA Algorithm IIONIBA Technique Image And Video Coding Image Coding Image Denoising Image Quality Indexes Peak Signal Image Reconstruction Image-dependent Nature Image-dependent ONIBA Image-independent ONIBA Technique Integral Transforms Nonlinear Regression Analysis Nonnegative Integer Bit Allocation Technique Optical, Image And Video Signal Processing Optimal Quantisation Optimum Nonnegative Integer Bit Allocation Prepared Combined Image Quantisation (signal) Quantisation Tables Recent Quantisation Technique Reconstructed Image Regression Analysis Step Size Mapping Technique Transform Coefficient Wavelet Transform
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
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