An image compression model via adaptive vector quantization: hybrid optimization algorithm

ABSTRACT

The Vector Quantization technique, employed in this paper is based on an upgraded Linde–Buzo–Gray (LBG) with a DCT method to store the image data. The code-books are optimized using a unique approach called hybrid optimization. Here, the database image is divided into a series of blocks called vectors. Then, a suitable codeword is chosen as the closest approximation of the input vector. The encoder sends the compressed stream, i.e. indices of these vectors to the decoder. The decoder subsequently decodes the index to obtain the compressed vector. Moreover, the Flower Pollination Adapted Rider Optimization (FPARA) model is used to improve the codebook for providing best image compression result. The optimization of code books is done to lower the summation of compression ratio and the error difference between the original and decompressed images. Therefore, the adopted approach is computed to the traditional schemes, and the simulation outcomes are validated.

KEYWORDS:

• Vector quantization
• image compression
• adptive LBG with DCT
• compressin ratio
• error difference‌
• optimization
• flower pollination adapted rider optimization
• image quality analysis

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Pratibha Pramod Chavan

Mrs. Pratibha Pramod Chavan, completed her PG and Bachelors in E&TC from Savitribai Phule Pune university. She is a research scholar at Sathyabama Institute of Science and Technology and doing research in the area of Image Processing. She has published more than 35 papers in National and International journals and conferences, In addition, she is reviewer of Elsevier. She has received a good teacher award, Trinity Ratna Teacher in January 2019 and 2021. She is associate dean of Industry relations at Trinity college of Engineering and Research, Pune. She is a Member of Professional bodies IETE, ISTE.

B. Sheela Rani

Dr. B. Sheela Rani, Director (Research) with a strong technical expertise, she acquired M.S (By Research) and Ph.D degree from Anna University, College of Engineering Chennai, in 2001. By virtue of working for a considerable number of years in the academic and research arena, she reached the position of the Director (Research) of Sathyabama Institute of Science and Technology, Chennai, TN, India. She also worked as a Vice Chancellor of SATHYABAMA in 2011. In addition, she was a recipient of the S&T Award of University for her Contribution to Research.

M. Murugan

Dr. M. Murugan, Principal and Professor, He has received ISTE's Anna University National Award for an Outstanding Academic, 2016. He also received Shri. P. K. Das Memorial Life Time Achievement Award in 2018 by NGI CBE. Six students have received their PhD under him at Anna University and Sathyabama University, Chennai. He is reviewed the PhD Thesis of Shivaji University, Amravati University, SNDT Women's University, Mumbai university. He is an active Reviewer for many International Journals & Conferences.

Pramod Chavan

Dr. Pramod Chavan is working as Associate Prof and Head of Department E&TC department at K J College of Engineering and Management Research, Pune. He was awarded a PhD in Electronics Engineering from Sathyabama Institute of Science and Technology, Chennai. His fields of interest are Robotics, Electromagnetic, Image Processing, analog and digital communication. In addition he has published more than 25 papers in the refereed research journals. He has received a good teacher awards “Trinity Ratna Teacher” in January 2019 and 2021. He is a member of Professional bodies like IETE, ISTE.