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Anonymous users2024-02-06Abstract incoming scalable amendments in.
A domain name is built into the scalability of the space. A new double.
Registered sampling method, proposed SVC. Recommended registration sampling.
The method is based on the long-term binding, backward Type II discrete cosine transform (DCT). As recommended.
Registering sampling cores is efficient for various symmetries of choice.
Calculate the time, a fast algorithm type II based on DCT registration sampling.
Methods are also proposed. Further improvements for upsampling.
An adaptive filtering method in type II is presented.
An introduction to the registration sampling of DCT, which applies to different weightings.
Parameter DCT coefficient. Even in this adaptive approach.
The application, the sampling operation in the decode registration is the same.
Computational complexity fixed weighting method. Should.
The adaptive sampling method is proposed, which shows significant improvement.
Comparison with SVC for PSNR registration sampling.
Introduction. Emerging home networks and broadband convergence.
Web technology allows people to see images.
Large plasma display panel, standard definition TV, or a very.
It should support a variety of different resolution displays.
Transcoding [1]-3] can be a solution for various supports.
Image resizing uses a Discrete Cosine Transform (DCT).
Features of the kernel and the employment of the DCT [4] - 6].
Downsampling upsampling uses the DCT kernel to provide better peaks.
The signal-to-noise ratio (signal-to-noise ratio) is better than those used with simple bilinearity.
Interpolation[4].
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Anonymous users2024-02-05A new double-folded-up, sampling method is presented for SVC. It is proposed to register a sampling method based on a combination of forward and backward Type II discrete cosine transformations (DCTs).
Due to the high efficiency computation of the proposed registration sampling kernel sampling method with different symmetry, a fast algorithm type II based on the DCT is also proposed.
In order to further improve the upsampling performance, the adaptive filter coefficient method was introduced in the registration sampling of type II DCT, and it is suitable for different weight parameters of DCT transformation. Even with the adaptive approach, the operation in which the decoder registers sampling has the same computational complexity as the fixed weighting method. The proposed adaptive registration sampling method shows a comparison of SVC with a greatly improved signal-to-noise ratio compared to the recently registered sampling method.
Introduction. Emerging home networks and broadband converged network technologies allow people to see images and ** anytime, anywhere. The display device can be a large plasma display panel, a standard-definition TV, or a very small mobile phone.
Therefore, the codecs used in these devices should support a variety of different resolution displays. Transcoding[1][3] can be a solution for a variety of supported resolutions. A large number of studies have focused on image resizing using the discrete cosine transform (DCT) kernel and employing the characteristics of DCT [4].
Down-sampling using the DCT kernel provides a better peak-to-noise ratio (signal-to-noise ratio) than those used with simple bilinear interpolation [4].
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Liang Qijie: Liang Qijie
Chinese Pinyin: Liang, Pinyin: [liáng]; 亓介, pinyin: [qí jiè]. >>>More