A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Filters
Efficient Schemes for Compressed-Domain Image Resizing
2009
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Fast schemes for compressed-domain image size change, are proposed. Fast Winograd DCTs are applied to resizing images by a factor of two to one. ...
First, we speed up the DCT domain downsampling scheme which uses the bilinear interpolation. Then, we speed up other image resizing schemes which use DCT lowpass truncated approximations. ...
We can reduce the size of an image, observed in the spatial domain by halving the image in the DCT domain. ...
doi:10.1587/transfun.e92.a.556
fatcat:5cd4f7sazbfn5lb2mwgpjk2ehm
Hybrid DCT-Wiener-Based interpolation using dual MMSE estimator scheme
2014
2014 19th International Conference on Digital Signal Processing
with a good mix of spatial and transform domain process. ...
Hybrid DCT-Wiener-Based interpolation scheme using the learnt Wiener filter can significantly improve both objective and subjective performance by learning a suitable Wiener filter to fit the hybrid scheme ...
The hybrid DCT-Wiener-Based (DCT-WB) interpolation scheme [19] combines the advantages of both DCT domain and spatial domain. ...
doi:10.1109/icdsp.2014.6900764
dblp:conf/icdsp/HuangHS14
fatcat:rupowttkvvca7oamvbrv3gq7j4
A fast scheme for image size change in the compressed domain
2001
IEEE transactions on circuits and systems for video technology (Print)
Given a video frame in terms of its 8 8 block-DCT coefficients, we wish to obtain a downsized or upsized version of this frame also in terms of 8 8 block-DCT coefficients. ...
The DCT being a linear unitary transform is distributive over matrix multiplication. This fact has been used for downsampling video frames in the DCT domain. ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers whose comments have greatly improved the presentation of this paper. ...
doi:10.1109/76.915353
fatcat:ao6n24bzrneurdjqwiwwcg5l6q
Motion Compensation on DCT Domain
2001
EURASIP Journal on Advances in Signal Processing
For the case of subpixel motion compensation, DCT-based approaches allow more accurate interpolation without any increase in computation. ...
We also discuss and develop some DCT-based motion compensation schemes as important building blocks of fully DCT-based codecs. ...
spatial domain rather than directly in the DCT domain. ...
doi:10.1155/s1110865701000245
fatcat:swe2qyk6treplerm6mufcu4viu
L/M-fold image resizing in block-dct domain using symmetric convolution
2003
IEEE Transactions on Image Processing
Therefore, the two-fold upsampling in the DCT domain generates four 8 8 blocks from one 8 8 block of the original image. ...
When an image is given in terms of its 8 8 block-DCT coefficients, its resized image is also obtained in 8 8 block-DCT coefficients. ...
Zero-Padded Signal and Its DCT Now consider the type-2 DCT of the zero-padded signal as shown in Fig. 3(d) . Let be -point sequence with block shift of . ...
doi:10.1109/tip.2003.816008
pmid:18237974
fatcat:jjvjbfyfvnfhxbl7zwp4f4etmm
Interpolation-free subpixel motion estimation techniques in DCT domain
1998
IEEE transactions on circuits and systems for video technology (Print)
Above all, motion estimation in the DCT domain instead of the spatial domain simplifies the conventional hybrid DCT-based video coder, especially the heavily loaded feedback loop in the conventional design ...
In this paper, we develop discrete cosine transform (DCT)-based techniques to estimate subpel motion at different desired subpel levels of accuracy in the DCT domain without interpolation. ...
Above all, motion estimation in the DCT domain instead of the spatial domain simplifies the conventional hybrid DCT-based video coder, especially the heavily loaded feedback loop in the conventional design ...
doi:10.1109/76.709412
fatcat:nyls2nxlybbxlfyrrqvk7qikte
Sparsity-Based Spatial Interpolation in Wireless Sensor Networks
2011
Sensors
when the data change relatively fast or blocks of samples are lost. ...
In this paper, we try to recover these missing samples without retransmission. The missing samples estimation problem is mathematically formulated as a 2-D spatial interpolation. ...
Acknowledgements The authors would like to thank Ming-Ting Sun at University of Washington and Zicheng Liu at Microsoft for constructive suggestions. ...
doi:10.3390/s110302385
pmid:22163745
pmcid:PMC3231630
fatcat:llibbdgttzfshcnmd2enha3fqa
Novel DCT-Based Image Up-Sampling Using Learning-Based Adaptive k-NN MMSE Estimation
2014
IEEE transactions on circuits and systems for video technology (Print)
In this paper, we tackle the problem of estimating high-frequency DCT coefficients in the spatial domain by proposing a learning-based scheme using an adaptive k-nearest neighbor weighted minimum mean ...
Image up-sampling in the discrete cosine transform (DCT) domain is a challenging problem because DCT coefficients are de-correlated, such that it is nontrivial to estimate directly high-frequency DCT coefficients ...
All the blocks in the proposed learning-based algorithm are processed in the spatial domain. ...
doi:10.1109/tcsvt.2014.2329352
fatcat:wcg6fdarevfdbk4yoboap77dyy
Recovery of image blocks using the method of alternating projections
2005
IEEE Transactions on Image Processing
s modified interblock correlation interpolation scheme, and Alkachouh and Bellanger's fast discrete cosine transformation-based spatial domain interpolation algorithm. ...
A technique for block-loss restoration in block-based image and video coding, dubbed recovery of image blocks using the method of alternating projections (RIBMAP), is developed. ...
ACKNOWLEDGMENT The authors would like to thank the members and affiliates of the CIA Lab for their fruitful discussions. ...
doi:10.1109/tip.2004.842354
pmid:15825481
fatcat:ak4is4shbndshnqf7swhbhmjua
A fast scheme for downsampling and upsampling in the DCT domain
1999
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348)
Given a video frame or image in terms of its 8 x 8 block-DCT coefficients we wish to obtain a downsized or upsized (by factor of two) version of this frame also in terms of 8 x 8 block-DCT coefficients ...
) compared to other compressed domain methods based on bilinear interpolation. ...
Hence the matrix multiplication in (2) can have complexity comparable to downsampling in spatial domain (by first taking inverse DCT, filtering and taking DCT ) using fast algorithms for computation ...
doi:10.1109/icip.1999.823030
dblp:conf/icip/DugadA99
fatcat:uoznzybdnreernmvxnkjoyl34y
Damaged Watermarks Detection in Frequency Domain as a Primary Method for Video Concealment
2011
Advances in Electrical and Electronic Engineering
The modified algorithm based on the detection and filtration of damaged watermark blocks encapsulated to the transmitted video was developed. ...
Finally, the efficiency of developed algorithm is presented in experimental part of this paper. ...
Acknowledgements This paper has been supported by the Slovak Scientist project VEGA grant agency, project no. 1/0570/10, "Algorithms research for automatic analysis of multimedia data". ...
doi:10.15598/aeee.v9i5.540
fatcat:yrrpxnajhjazfo72mrkhbl5uhm
Design and Analysis of an Image Resizing Filter in the Block-DCT Domain
2004
IEEE transactions on circuits and systems for video technology (Print)
In this paper, we propose a novel approach to resize images that are compressed by 8 8 block-discrete cosine tranform (DCT)-based coding. ...
Image resizing of a compressed image can be performed in a spatial domain via decompression, resizing, and recompression, which is computationally inefficient. ...
Its antialiasing filter response is better than that of bilinear interpolation in the spatial domain. ...
doi:10.1109/tcsvt.2003.819183
fatcat:j4xtavaeergntfjx75gvhtxooi
Learning-based face hallucination in DCT domain
2008
2008 IEEE Conference on Computer Vision and Pattern Recognition
In details, the problem is formulated as inferring DCT coefficients in frequency domain instead of estimating pixel intensities in spatial domain. ...
In this paper, we propose a novel learning-based face hallucination framework built in DCT domain, which can recover the high-resolution face image from a single lowresolution one. ...
So the dimension of HRI block can be reduced from 64 in spatial domain to 15 in DCT domain in this case. ...
doi:10.1109/cvpr.2008.4587604
dblp:conf/cvpr/ZhangC08
fatcat:hne65am6bfalle2dy3so362gue
Low Complex Image Resizing Algorithm using Fixed-point Integer Transformation
2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
This paper proposes an efficient image resizing algorithm, including both halving and doubling, in the DCT domain. ...
The proposed image resizing algorithm works on a 4 by 4 DCT block framework with a lower complexity compared to the similar previous methods. ...
Output: 4 × 4 block based DCT encoded downsampled image. for every four adjacent 4
Input: 4 × 4 block based DCT encoded image. Output: Upsampled image in the compressed
domain. ...
doi:10.5220/0006616901430149
dblp:conf/visapp/McAvoyRJ18
fatcat:pyiwbpkcwfevxktqmuhsewfghu
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging
[article]
2014
arXiv
pre-print
Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet and alike. ...
domain filters for image restoration, to methods of precise image re-sampling and image reconstruction from sparse samples and up to "compressive sensing" approach that has gained popularity in last few ...
Computational efficiency of the DFT/DCT based interpolation error free discrete sincinterpolation algorithms is rooted in the use of fast Fourier and Fast DCT transforms. ...
arXiv:1408.6335v1
fatcat:afviw7ehkzbb5ow5yc2yxsh2z4
« Previous
Showing results 1 — 15 out of 1,910 results