Digital Image Processing

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Image Representation by First Generation Wavelets and its Application to Compression


Affiliations
1 Department of Electronics and Communication Engineering, Stanley Stephen College of Engineering & Technology, Kurnool, India
2 Stanley Stephen College of Engineering and Technology, Kurnool, India
3 Department of Electronics and Communication Engineering, JNTUCE, JNTUA, Anantapur, India
     

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Image is a two dimensional plot of intensity information. A digital image is a collection of numbers representing the intensity values. The digital image is stored primarily as a matrix (more specifically as an array of multi-dimension). Hence the processing of the image is done primarily on this representation of the image. Because this representation is a raw data of pixels and distributed along the plane non-uniformly, one cannot apply any operation more effectively. The aim of this paper is to analyze the wavelet representation of an image. In this paper, the representation of image by wavelets is presented and verified the effectiveness of the representation by performing compression on the new representation. This paper proposes a new composite design metric to analyze image compression. The first generation wavelets Haar, Daubechies, Bioorthogonal, Coiflet, Symlet and Di-Meyer are considered. The work was tested on a large number of images and the results are presented.

Keywords

Image Representation, Wavelet, Compression, SPIHT.
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  • Image Representation by First Generation Wavelets and its Application to Compression

Abstract Views: 215  |  PDF Views: 2

Authors

M. Santhosh
Department of Electronics and Communication Engineering, Stanley Stephen College of Engineering & Technology, Kurnool, India
B. Stephen Charles
Stanley Stephen College of Engineering and Technology, Kurnool, India
M. N. Giri Prasad
Department of Electronics and Communication Engineering, JNTUCE, JNTUA, Anantapur, India

Abstract


Image is a two dimensional plot of intensity information. A digital image is a collection of numbers representing the intensity values. The digital image is stored primarily as a matrix (more specifically as an array of multi-dimension). Hence the processing of the image is done primarily on this representation of the image. Because this representation is a raw data of pixels and distributed along the plane non-uniformly, one cannot apply any operation more effectively. The aim of this paper is to analyze the wavelet representation of an image. In this paper, the representation of image by wavelets is presented and verified the effectiveness of the representation by performing compression on the new representation. This paper proposes a new composite design metric to analyze image compression. The first generation wavelets Haar, Daubechies, Bioorthogonal, Coiflet, Symlet and Di-Meyer are considered. The work was tested on a large number of images and the results are presented.

Keywords


Image Representation, Wavelet, Compression, SPIHT.