JOURNAL ARTICLE

Implementation of Multiwavelet Transform coding for lossless image compression

Abstract

Today the performance of the Multiwavelets plays a vital role in the field of image processing which is well known from Wavelet theory. Now a day's Multiwavelets take wavelets a step ahead in its performance. In this paper the performance of the Integer Multiwavelet Transform (IMWT) for Lossless has been studied. The IMWT provides good result with the image reconstructed. In this paper the performance of the IMWT for lossless compression of images with Magnitude set coding have been obtained. The Transform coefficients are coded with Magnitude set coding and run length Encoding techniques. The Transform coefficient matrix is coded without considering the sign, which make uses of Magnitude Set-Variable Length Integer Representation. The sign information of the coefficients is coded inform of bit plane with zero thresholds. The Bit plane obtained can be used as it is or it can be coded to reduce the bits per pixel (bpp). The Simulation was done using Mat lab.

Keywords:
Lossless compression Wavelet transform Algorithm Image compression Data compression Wavelet Entropy encoding Computer science Transform coding Arithmetic coding Context-adaptive variable-length coding Context-adaptive binary arithmetic coding Mathematics Coding (social sciences) Artificial intelligence Computer vision Image processing Discrete cosine transform Image (mathematics)

Metrics

15
Cited By
2.08
FWCI (Field Weighted Citation Impact)
7
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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