NDLI: Regularized Decompression of Kirlian Images by Optimized JPEG Dequantization Array

Content Provider	IEEE Xplore Digital Library
Author	Kumar, V.S. Sanavullah, M.Y. Senthilkumar, M.
Copyright Year	2007
Description	Author affiliation: Dr.Mahalingam Coll. of Engg & Tech, Coimbatore (Kumar, V.S.) \|\| KSR Coll. of Engg & Tech, Salem (Sanavullah, M.Y.) \|\| Coll. of Engg & Tech, Coimbatore (Senthilkumar, M.)
Abstract	This paper proposes an optimized dequantization array for JPEG compression scheme. The Joint Photographers Expert Group (JPEG) algorithm is a powerful lossy compression strategy for still image. The existing JPEG block compression approach results in poor visual quality because of creating discontinuities at low bit rates. Moreover, if the decompressed image is processed to detect edges or to extract some spatial features, false edges appear. In Order to overcome these difficulties, an optimized dequantization array is proposed for the Joint Photographers Expert Group (JPEG) scheme. In this scheme, all the details retrieved from the JPEG still picture which corresponds to the JPEG standard that can be used for various types of compression and digital image processing. Instead of specifying the Huffman code values statically, they are generated dynamically from the retrieved Huffman table specification that can be used for the purpose of compression. Here, the proposed decompression scheme minimizes the reconstruction error subjected to the regularity of the decoded image blocks by using an optimized dequantization array. .The experimental result shows very good visual quality and reduces discontinuities in post processing such as edge detection.
Starting Page	31
Ending Page	35
File Size	323067
Page Count	5
File Format	PDF
ISBN	0769530508
DOI	10.1109/ICCIMA.2007.276
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Transform coding Image edge detection Image reconstruction Quantization Educational institutions Inverse problems Discrete cosine transforms Bit rate Feature extraction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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