image compression Archives - Dr. Wael Badawy https://badawy.ca/tag/image-compression/ From Idea to Innovation Thu, 22 Feb 2018 18:02:15 +0000 en-US hourly 1 63363634 Error-Free Computation of Daubechies Wavelets for Image Compression Applications https://badawy.ca/2018/09/23/error-free-computation-of-daubechies-wavelets-for-image-compression-applications-2/ Sun, 23 Sep 2018 11:14:00 +0000 http://www.badawy.ca/?p=504 A novel encoding scheme for Daubechies wavelets is proposed. The technique eliminates the requirements to approximate the transformation matrix elements; rather, by using algebraic integers, it is possible to obtain exact representations for them. As a result, error-free calculations up to the final reconstruction step can be achieved, which providesRead More

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A novel encoding scheme for Daubechies wavelets is proposed. The technique eliminates the requirements to approximate the transformation matrix elements; rather, by using algebraic integers, it is possible to obtain exact representations for them. As a result, error-free calculations up to the final reconstruction step can be achieved, which provides considerable improvement in image reconstruction accuracy.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 5 )

 

K. A. Wahid, V. S. Dimitrov, G. A. Jullien and W. Badawy, “Error-Free Computation of Daubechies Wavelets for Image Compression Applications,” IEE Electronics Letters, Vol. 39, Issue 5 , 6 March 2003, pp. 428 -429

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An Efficient Architecture for a Lifted 2D Biorthogonal DWT https://badawy.ca/2018/08/16/an-efficient-architecture-for-a-lifted-2d-biorthogonal-dwt-2/ Thu, 16 Aug 2018 03:58:00 +0000 http://www.badawy.ca/?p=429   This paper presents a new algorithm for a 2D non-separable lifted bi-orthogonal wavelet transform. The algorithm is derived by factoring complementary pairs of wavelet transform 2D filters. The results are efficient architectures for real time signal processing, which do not require transpose memory for the 2D processing of data.Read More

The post An Efficient Architecture for a Lifted 2D Biorthogonal DWT appeared first on Dr. Wael Badawy.

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This paper presents a new algorithm for a 2D non-separable lifted bi-orthogonal wavelet transform. The algorithm is derived by factoring complementary pairs of wavelet transform 2D filters. The results are efficient architectures for real time signal processing, which do not require transpose memory for the 2D processing of data. The proposed architecture exploits in place implementation, inherit from the algorithm, and can take advantage of both vertical and horizontal parallelism in the direct implementation. The processing in our architecture is scheduled by carefully pipelining the lifted steps, which allows for up to four times faster processing than the direct implementation. The proposed architecture operates at high speed, consumes low power and has reduced computational complexity as compared to previously published filter and lifted based bi-orthogonal wavelet architectures.

 

Mehboob Alam , Wael Badawy, Vassil Dimitrov and Graham Jullien, “An Efficient Architecture for a Lifted 2D Biorthogonal DWT,” The Journal of VLSI Signal Processing , Volume 40, Issue 3, July 2005, pp. 335 – 342

The post An Efficient Architecture for a Lifted 2D Biorthogonal DWT appeared first on Dr. Wael Badawy.

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Error-Free Computation of Daubechies Wavelets for Image Compression Applications https://badawy.ca/2018/05/27/error-free-computation-of-daubechies-wavelets-for-image-compression-applications/ Sun, 27 May 2018 08:50:00 +0000 http://www.badawy.ca/?p=504 A novel encoding scheme for Daubechies wavelets is proposed. The technique eliminates the requirements to approximate the transformation matrix elements; rather, by using algebraic integers, it is possible to obtain exact representations for them. As a result, error-free calculations up to the final reconstruction step can be achieved, which providesRead More

The post Error-Free Computation of Daubechies Wavelets for Image Compression Applications appeared first on Dr. Wael Badawy.

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A novel encoding scheme for Daubechies wavelets is proposed. The technique eliminates the requirements to approximate the transformation matrix elements; rather, by using algebraic integers, it is possible to obtain exact representations for them. As a result, error-free calculations up to the final reconstruction step can be achieved, which provides considerable improvement in image reconstruction accuracy.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 5 )

 

K. A. Wahid, V. S. Dimitrov, G. A. Jullien and W. Badawy, “Error-Free Computation of Daubechies Wavelets for Image Compression Applications,” IEE Electronics Letters, Vol. 39, Issue 5 , 6 March 2003, pp. 428 -429

The post Error-Free Computation of Daubechies Wavelets for Image Compression Applications appeared first on Dr. Wael Badawy.

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An Efficient Architecture for a Lifted 2D Biorthogonal DWT https://badawy.ca/2018/04/19/an-efficient-architecture-for-a-lifted-2d-biorthogonal-dwt/ Thu, 19 Apr 2018 15:55:00 +0000 http://www.badawy.ca/?p=429   This paper presents a new algorithm for a 2D non-separable lifted bi-orthogonal wavelet transform. The algorithm is derived by factoring complementary pairs of wavelet transform 2D filters. The results are efficient architectures for real time signal processing, which do not require transpose memory for the 2D processing of data.Read More

The post An Efficient Architecture for a Lifted 2D Biorthogonal DWT appeared first on Dr. Wael Badawy.

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This paper presents a new algorithm for a 2D non-separable lifted bi-orthogonal wavelet transform. The algorithm is derived by factoring complementary pairs of wavelet transform 2D filters. The results are efficient architectures for real time signal processing, which do not require transpose memory for the 2D processing of data. The proposed architecture exploits in place implementation, inherit from the algorithm, and can take advantage of both vertical and horizontal parallelism in the direct implementation. The processing in our architecture is scheduled by carefully pipelining the lifted steps, which allows for up to four times faster processing than the direct implementation. The proposed architecture operates at high speed, consumes low power and has reduced computational complexity as compared to previously published filter and lifted based bi-orthogonal wavelet architectures.

 

Mehboob Alam , Wael Badawy, Vassil Dimitrov and Graham Jullien, “An Efficient Architecture for a Lifted 2D Biorthogonal DWT,” The Journal of VLSI Signal Processing , Volume 40, Issue 3, July 2005, pp. 335 – 342

The post An Efficient Architecture for a Lifted 2D Biorthogonal DWT appeared first on Dr. Wael Badawy.

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