An alternative transform coder design criterion based on restricting the maximum perceptual error of each coefficient is proposed. This perceptually uniform quantisation of the transform domain ensures that the percep...
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An alternative transform coder design criterion based on restricting the maximum perceptual error of each coefficient is proposed. This perceptually uniform quantisation of the transform domain ensures that the perceptual error will be below a certain limit regardless of the particular input image. The results show that the proposed criterion improves the subjective quality of the conventional average error criterion even if it is weighted with the same perceptual metric.
image transform coding is first briefly reviewed using conventional viewpoints. Then a new spatial domain interpretation is given to image transform coding. An improvement based on this viewpoint for the Fourier trans...
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image transform coding is first briefly reviewed using conventional viewpoints. Then a new spatial domain interpretation is given to image transform coding. An improvement based on this viewpoint for the Fourier transformcoding, which possesses simple spatial domain relations, is presented.
This paper considers the generation of integer transforms based on the principle of dyadic symmetry. A set of new order-16 integer transforms is found and the kernel components of the new integer transforms can be rep...
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This paper considers the generation of integer transforms based on the principle of dyadic symmetry. A set of new order-16 integer transforms is found and the kernel components of the new integer transforms can be represented by one-byte integers. Among the 119 new integer transforms obtained, 12 of them have better performance, in terms of transform efficiency, than the order-16 integer cosine transforms and other well-known transforms like the slant transform and the Walsh transform. They also have similar transform efficiency and basis restriction mean-square-error compared to the discrete cosine transform (DCT).
The K-L transform approach to image restoration and compression is reviewed and implemented on real images. The shortcomings of the algorithm in its existing form for real-time and on-line applications are highlighted...
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The K-L transform approach to image restoration and compression is reviewed and implemented on real images. The shortcomings of the algorithm in its existing form for real-time and on-line applications are highlighted. A new method (KLP) is proposed for introducing parallelism into the implementation of the KL algorithm, so as to reduce the overall algorithm's computation time. The modified algorithm has been implemented and simulation results for image compression and image reconstruction are compared with the simulation results of the KL algorithm in its existing form. It is observed that there is significant improvement in the computation time of the algorithm when implemented by the new technique. It is concluded that the KLP is very promising for real-time applications where the existing KL does not perform well.
A method of progressive picture transmission is described which uses dynamically varying interleaved blocks. The method is easy to implement and has the effect of reducing the masking effect of the block structure dur...
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A method of progressive picture transmission is described which uses dynamically varying interleaved blocks. The method is easy to implement and has the effect of reducing the masking effect of the block structure during the early stages of transmission. The extent of the interleaving is reduced as more coefficients are received. Subjective tests are reported which indicate an appropriate strategy for dynamic variation.
In this paper, Legendre Ramanujan Sums transform(LRST) is proposed and derived by applying DFT to the complete generalized Legendre sequence (CGLS) matrices. The original matrix based Ramanujan Sums transform (RST) by...
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ISBN:
(纸本)9780992862633
In this paper, Legendre Ramanujan Sums transform(LRST) is proposed and derived by applying DFT to the complete generalized Legendre sequence (CGLS) matrices. The original matrix based Ramanujan Sums transform (RST) by truncating the Ramanujan Sums series is non orthogonal and lack of fast algorithm, the proposed LRST has orthogonal property and O(Nlog(2)N) complexity fast algorithm. The LRST transform matrix is a sparse matrix and can be calculated with only additions and multiplications with more improvement in efficiency. It is suitable for image compression and transformcoding. Meanwhile the LRST is useful to analyze to periodic signal especially for already known periodic sequences.
In this paper, Legendre Ramanujan Sums transform (LRST) is proposed and derived by applying DFT to the complete generalized Legendre sequence (CGLS) matrices. The original matrix based Ramanujan Sums transform (RST) b...
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ISBN:
(纸本)9781479988518
In this paper, Legendre Ramanujan Sums transform (LRST) is proposed and derived by applying DFT to the complete generalized Legendre sequence (CGLS) matrices. The original matrix based Ramanujan Sums transform (RST) by truncating the Ramanujan Sums series is non-orthogonal and lack of fast algorithm, the proposed LRST has orthogonal property and O(Nlog_2N) complexity fast algorithm. The LRST transform matrix is a sparse matrix and can be calculated with only additions and multiplications with more improvement in efficiency. It is suitable for image compression and transformcoding. Meanwhile the LRST is useful to analyze to periodic signal especially for already known periodic sequences.
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