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Texture Preserving Image Coding Using Orthogonal Polynomials


Affiliations
1 Department of Information Technology, Bharathidasan Institute of Technology, Trichy, Tamil Nadu, India
2 Department of Computer Science and Engineering, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India
     

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In order to replace the artifacts in the textured background, a new texture preserving image coder using the set of orthogonal polynomials is proposed in this paper. The proposed scheme is based on the model that represents textures using points spread operator relating to a linear system. In the proposed texture based image coding scheme, the encoder first identifies textured regions, which are then analyzed to produce the model features. Then these features are later transmitted to decoder which decodes to form a synthetic texture and results into synthetic stage. The proposed modeling delivers to attain high compression ratio by maintaining constantly excellent visual quality. 92.31% with a PSNR value of 31.93dB when the quality factor is 5 for D96 image is achieved by the proposed scheme. By keeping up the quality factor as a constant constrained, we obtain 91.11% of compression ratio with a PSNR value of 33.26dB for different set of image that is, D38 image.

Keywords

Texture Preserving Image Coder, Points Spread Operator, Synthetic Texture, Texture Modeling and Compression Ratio.
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  • Texture Preserving Image Coding Using Orthogonal Polynomials

Abstract Views: 222  |  PDF Views: 1

Authors

R. Krishnamoorthi
Department of Information Technology, Bharathidasan Institute of Technology, Trichy, Tamil Nadu, India
T. Karthikeyan
Department of Computer Science and Engineering, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India

Abstract


In order to replace the artifacts in the textured background, a new texture preserving image coder using the set of orthogonal polynomials is proposed in this paper. The proposed scheme is based on the model that represents textures using points spread operator relating to a linear system. In the proposed texture based image coding scheme, the encoder first identifies textured regions, which are then analyzed to produce the model features. Then these features are later transmitted to decoder which decodes to form a synthetic texture and results into synthetic stage. The proposed modeling delivers to attain high compression ratio by maintaining constantly excellent visual quality. 92.31% with a PSNR value of 31.93dB when the quality factor is 5 for D96 image is achieved by the proposed scheme. By keeping up the quality factor as a constant constrained, we obtain 91.11% of compression ratio with a PSNR value of 33.26dB for different set of image that is, D38 image.

Keywords


Texture Preserving Image Coder, Points Spread Operator, Synthetic Texture, Texture Modeling and Compression Ratio.