Digital Image Processing

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Wavelet Image Compression and Parameter Based Measurement


Affiliations
1 Department Of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), India
2 Department of Basic Sciences, Dr. C. V. Raman University, Bilaspur (C.G), India
3 Dr. C. V. Raman University, Bilaspur (C.G), India
     

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The development of Digital image processing technology there are several applications. One of the applications is an image compression. The research assigned is to develop an Image Compression technique based on JPEG 2000 using Wavelet Transform For efficient representation of digital image in order to reduce the memory required for storage, improve the data access rate from storage device and reduce the bandwidth and time required for data transfer across communication channel wavelet transform is the best solution.
In this research the different types of wavelet function are used. Wavelet transform is used to convert the pixel information into transform coefficient. Transform coefficient are quantized and then entropy coding is performed. For reconstruction entropy decoding and inverse wavelet transform are done. In this project a comparative study has been done using different wavelet function such as Haar, dB4 and dB6 for the compression and reconstruction of the image.

Keywords

Wavelet Transform, Entropy Encoding Entropy Encoding Entropy Encoding, Compression Ratio, Image Processing.
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  • Wavelet Image Compression and Parameter Based Measurement

Abstract Views: 230  |  PDF Views: 2

Authors

Tarun Dhar Diwan
Department Of Engineering, Dr. C. V. Raman University, Bilaspur (C.G), India
Bhoopendra Dhar Diwan
Department of Basic Sciences, Dr. C. V. Raman University, Bilaspur (C.G), India
Dilip K. U. Barik
Dr. C. V. Raman University, Bilaspur (C.G), India

Abstract


The development of Digital image processing technology there are several applications. One of the applications is an image compression. The research assigned is to develop an Image Compression technique based on JPEG 2000 using Wavelet Transform For efficient representation of digital image in order to reduce the memory required for storage, improve the data access rate from storage device and reduce the bandwidth and time required for data transfer across communication channel wavelet transform is the best solution.
In this research the different types of wavelet function are used. Wavelet transform is used to convert the pixel information into transform coefficient. Transform coefficient are quantized and then entropy coding is performed. For reconstruction entropy decoding and inverse wavelet transform are done. In this project a comparative study has been done using different wavelet function such as Haar, dB4 and dB6 for the compression and reconstruction of the image.

Keywords


Wavelet Transform, Entropy Encoding Entropy Encoding Entropy Encoding, Compression Ratio, Image Processing.