The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-717
Full Name: Benjamin joseph
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: College of Engineering,Guindy,Anna University,Chennai
Country: INDIA
Tel: 9952730449
Tel prefix:
Fax:
E-mail address: meetben.joe@gmail.com
Other E-mails: dhanlakshmisai@gmail.com
Title of the Paper: Enhanced Approaches of Edge Preserving Image Compression Techniques Using Adaptive Angular Wavelet Transform
Authors as they appear in the Paper: Benjamin Joseph,Dhanalakshmi R, Baskaran R
Email addresses of all the authors: meetben.joe@gmail.com,dhanalakshmisai@gmail.com
Number of paper pages: 10
Abstract: In this paper heterogeneous approaches of edge preserving lossy image compression are incorporated. Here two different approaches namely Decomposition of Edges without transformation (DEWT) and Preservation of Edges entirely (PEE) are developed to improve the compression ratio without degrading the quality of image using Adaptive Wavelet Transform. In both the approaches edges are transmitted to the receiver as header information to preserve the high frequency components. An edge image is obtained from the original image using four different filters such as: Sobel, Canny, Roberts, Prewitt edge detector. Then the image is domain transformed with Adaptive angular wavelets which has multi-resolution capability at n number of directions. The compressed image is reconstructed at the receiver and the valuable parameter such as Compression Factor and Peak Signal to Noise Ratio are calculated. The performance table is provided in comparison of the two proposed methods with!
the existing method of edge preserving image compression. These two different algorithms mainly reduce the coding complexity and require less number of hardware's for implementation.
Keywords: Compression Factor, Edges, Adaptive Wavelet Transform, Edge detectors, Preservation of Frequency components.
EXTENSION of the file: .doc
Special (Invited) Session: Image Processing and 2-D / 3-D Systems
Organizer of the Session:
How Did you learn about congress: image processing
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