Prof. Dr. Wajeb Gharibi

Committee: International Scientific Committee of Computer and Systems Engineering
University: Jazan University
Department: College of Computer Science and Information Systems
Research Fields: Information Security, Microelectronics, Embedded Systems, SoC, Artificial Intelligence, Design & Analysis of Network Algorithms and Optimization, Software Engineering

Publications

1 New Efficient Method for Coding Color Images

Authors: Wajeb Gharibi, Walaa M.Abd-Elhafiez

Abstract:

In this paper a novel color image compression technique for efficient storage and delivery of data is proposed. The proposed compression technique started by RGB to YCbCr color transformation process. Secondly, the canny edge detection method is used to classify the blocks into the edge and non-edge blocks. Each color component Y, Cb, and Cr compressed by discrete cosine transform (DCT) process, quantizing and coding step by step using adaptive arithmetic coding. Our technique is concerned with the compression ratio, bits per pixel and peak signal to noise ratio, and produce better results than JPEG and more recent published schemes (like CBDCT-CABS and MHC). The provided experimental results illustrate the proposed technique that is efficient and feasible in terms of compression ratio, bits per pixel and peak signal to noise ratio.

Keywords: Image Compression, Quantization, color image, q-coder, edge-detection

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Abstracts

1 New Efficient Method for Coding Color Images

Authors: Wajeb Gharibi, Walaa M.Abd-Elhafiez

Abstract:

In this paper a novel color image compression technique for efficient storage and delivery of data is proposed. The proposed compression technique started by RGB to YCbCr color transformation process. Secondly, the canny edge detection method is used to classify the blocks into edge and non-edge blocks. Each color component Y, Cb, and Cr compressed by discrete cosine transform (DCT) process, quantizing and coding step by step using adaptive arithmetic coding. Our technique is concerned with the compression ratio, bits per pixel and peak signal to noise ratio, and produce better results than JPEG and more recent published schemes (like, CBDCT-CABS and MHC). The provided experimental results illustrate the proposed technique which is efficient and feasible in terms of compression ratio, bits per pixel and peak signal to noise ratio.

Keywords: Image Compression, Quantization, color image, q-coder, edge-detection

Procedia PDF Downloads 197