Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Wai-Kuen Cham"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/fcc67af6e47841ceb9150b36f768c51e
Autor:
Qinran Chen, Wai-kuen Cham
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 6, Iss 1 (2007)
This paper proposes a 3D model based pose invariant face recognition method that can recognize a face of a large rotation angle from its single nearly frontal view. The proposed method achieves the goal by using an analytic-to-holistic approach and a
Externí odkaz:
https://doaj.org/article/669a59823cad43d8be8266c7f1547873
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:2407-2412
In high efficiency video coding (HEVC) standard, residuals are partitioned into variable-size transform units, and integer cosine transforms (ICTs) of order-4, 8, 16, and 32 are adopted to optimize the coding performance. Order-64 ICT is not used due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d94e489b592758fb5102356c7f391c8
https://doi.org/10.1109/tcsvt.2018.2822319
https://doi.org/10.1109/tcsvt.2018.2822319
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:819-833
Pattern matching is widely used in signal processing, computer vision, and image and video processing. One efficient approach is to perform pattern matching in a transform domain that has good energy packing ability and so allows early rejection of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c706c7bffdbe68d2958681dd077741bb
https://doi.org/10.1109/tcsvt.2016.2629621
https://doi.org/10.1109/tcsvt.2016.2629621
Publikováno v:
IEEE Transactions on Multimedia. 19:2505-2520
In this paper, we tackle the problem of no-reference image quality assessment (IQA). A learning-based IQA framework “VIDGIQA” is proposed, which extracts quality features from the input image and regresses the visual quality on these features. Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::941165a9fa3c88b43471175cfec9e8d2
https://doi.org/10.1109/tmm.2017.2703148
https://doi.org/10.1109/tmm.2017.2703148
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 27:326-336
A method to derive an order-2 N integer cosine transform is presented in this paper. The proposed transform has orthogonal basis vectors and inherits the recursive structure from the discrete cosine transform such that an order-2 N transform can be d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea60296f90e38b883adca149595a009a
https://doi.org/10.1109/tcsvt.2015.2513664
https://doi.org/10.1109/tcsvt.2015.2513664
Publikováno v:
Pattern Recognition. 48:3203-3215
Plant identification is required by all walks of life, from professionals to the general public. Nevertheless, it is not an easy job but requires specialized knowledge. In this paper, we propose a new method for plant identification using shapes of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f4be97191f73a32e16496b972aadcd5
https://doi.org/10.1016/j.patcog.2015.04.004
https://doi.org/10.1016/j.patcog.2015.04.004
Publikováno v:
ICIP
An effective unsupervised segmentation method is proposed to extract the object of interest from low depth of field images based on a novel L 0 regularized matting model. First of all, a multi-scale reblurring model is utilized, together with guided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d10af7a6f2d3860874e2efe3ecf2cc
https://doi.org/10.1109/icip.2017.8296895
https://doi.org/10.1109/icip.2017.8296895
Autor:
Wai-Kuen Cham, Jingwei Guan
Publikováno v:
ICASSP
In this work, a quality estimation based multi-focus image fusion method (QEBIF) is proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the multi-focus images with their estimated focus levels as weights. Since the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::036b15070f9ad4fb878002bb12658a88
https://doi.org/10.1109/icassp.2017.7952504
https://doi.org/10.1109/icassp.2017.7952504
Publikováno v:
Journal of Visual Communication and Image Representation. 25:1044-1055
Transform coding has been widely used in video coding standards, such as H.264 advanced video coding (H.264/AVC) and high efficiency video coding (HEVC). But the coded video sequences suffer from annoying coding artifacts, such as blocking and ringin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::255ae7e4b4cefc926104ea52574f56f7
https://doi.org/10.1016/j.jvcir.2014.03.001
https://doi.org/10.1016/j.jvcir.2014.03.001