Results 191 to 200 of about 112,080 (220)
Some of the next articles are maybe not open access.

“Color to Gray and Back” Using DST-DCT, Haar-DCT, Walsh-DCT, Hartley-DCT, Slant-DCT, Kekre-DCT Hybrid Wavelet Transforms

2014
The paper shows performance comparison of DST-DCT, Haar-DCT, Walsh-DCT, Hartley-DCT, Slant-DCT and Kekre-DCT Hybrid Wavelet Transforms using Normalization for ‘Color to Gray and Back’. The color information of the image is embedded into its gray scale version using hybrid wavelet transform [HWT] and normalization method.
H. B. Kekre   +2 more
openaire   +1 more source

Fast DCT domain filtering using the DCT and the DST

IEEE Transactions on Image Processing, 1999
A method for efficient spatial domain filtering, directly in the discrete cosine transform (DCT) domain, is developed and proposed. It consists of using the discrete sine transform (DST) and the DCT for transform-domain processing on the in JPEG basis of the previously derived convolution-multiplication properties of discrete trigonometric transforms ...
R, Kresch, N, Merhav
openaire   +2 more sources

Theoretical Complex Cepstrum of DCT and Warped DCT Filters

IEEE Signal Processing Letters, 2007
In this letter, we derive the theoretical complex cepstrum (TCC) of the discrete cosine transform (DCT) and warped DCT (WDCT) filters. Using these derivations, we intend to develop an analytic model of the warped discrete cosine transform cepstrum (WDCTC), which was recently introduced as a speech processing feature.
R. Muralishankar   +2 more
openaire   +1 more source

The quantized DCT and its application to DCT-based video coding

IEEE Transactions on Image Processing, 2002
The two-dimensional (2-D) discrete cosine transform (DCT) and the subsequent quantization of the transform coefficients are two computationally demanding steps of any DCT-based video encoder. In this paper, we propose an efficient joint implementation of these two steps, where the precision in computing the DCT can be exchanged for a reduction in the ...
Alen, Docef   +3 more
openaire   +2 more sources

GG DCT COEFFICIENT MODELS

International Journal of Wavelets, Multiresolution and Information Processing, 2010
It has been known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. However, recent work has shown that the Laplace distribution may not be a good fit for certain types of images and that the Gaussian distribution will be a realistic model in such cases. A model that contains
openaire   +2 more sources

DCT-IV computation

Pattern Recognition and Image Analysis, 2008
A new fast algorithm for computing a type of discrete cosine transform applied to compute modified cosine transform is described. The number of arithmetic operations of the algorithm is estimated and interpreted. The computational scheme with substitution of variables is presented, and methods for optimizing the code for digital signal processors are ...
V. S. Shaptala, M. V. Korman
openaire   +1 more source

LAPLACIAN DCT COEFFICIENT MODELS

International Journal of Wavelets, Multiresolution and Information Processing, 2008
It is well known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follow a Laplace distribution. In this note, a collection of formulas is derived for the distribution of the actual DCT coefficient. The corresponding estimation procedures are derived by the method of moments and the method of maximum ...
openaire   +1 more source

Randomized redundant DCT

SIGGRAPH Asia 2015 Technical Briefs, 2015
j In this paper, we propose an acceleration method for image denoising with a redundant discrete cosine transform (R-DCT). Image denoising is essential for image processing, and its efficiency is important for graphics applications. R-DCT with a hard-thresholding or shrinkage method can perform denoising while keeping detail textures.
Shu Fujita   +3 more
openaire   +1 more source

Optimum DCT quantization

[Proceedings] DCC `93: Data Compression Conference, 2002
The paper offers a solution to the problem of determining good quantization tables for use with the discrete cosine transform. Using the methods proposed, the designer of a system can choose a selection of test images and a coefficient weighting scenario, from which a quantization table can be produced, optimized for the choices made.
D.M. Monro, B.G. Sherlock
openaire   +1 more source

Gaussian DCT Coefficient Models

Acta Applicandae Mathematicae, 2008
It is assumed that the discrete cosine transform (DCT) coefficients of most natural images follow a Gaussian distribution. In this theoretical work, the author obtains sixteen compounded distribution models from \[ f(x)=\frac{1}{\sqrt {2\pi}}\int^\infty_0\frac{1}{\sigma}\exp\left(-\frac{y^2}{2\sigma^2}\right)g (\sigma^2)d\sigma^2 \] by taking different
openaire   +2 more sources

Home - About - Disclaimer - Privacy