Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alireza Ahmadifard"'
Autor:
Saman Gholtashi, Mohammad Amir Nazari Siahsar, Amin RoshandelKahoo, Hosein Marvi, Alireza Ahmadifard
Publikováno v:
Iranian Journal of Oil & Gas Science and Technology, Vol 4, Iss 4, Pp 1-14 (2015)
Seismic waves are non-stationary due to its propagation through the earth. Time-frequency transforms are suitable tools for analyzing non-stationary seismic signals. Spectral decomposition can reveal the non-stationary characteristics which cannot be
Externí odkaz:
https://doaj.org/article/e859505002c740a39c97969b167cb67f
Publikováno v:
Multimedia Tools and Applications. 77:7357-7382
The existing image quality assessment (IQA) techniques try to estimate image distortions regardless of their destructive effects on image contents. Analyzing the subjective scores of image quality databases shows that the worst opinions belong to dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115c0246f08e378d1484239bf021e99d
https://doi.org/10.1007/s11042-017-4636-7
https://doi.org/10.1007/s11042-017-4636-7
Autor:
Hosein Marvi, Saman Gholtashi, Amin Roshandel Kahoo, Mohammad Amir Nazari Siahsar, Alireza Ahmadifard
Publikováno v:
GEOPHYSICS. 81:V117-V124
Attenuation of random noise is a major concern in seismic data processing. This kind of noise is usually characterized by random oscillation in seismic data over the entire time and frequency. We introduced and evaluated a low-rank and sparse decompo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::373c9766c3181fc580f76c2f9254d1c3
https://doi.org/10.1190/geo2015-0341.1
https://doi.org/10.1190/geo2015-0341.1
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 30:158-166
This paper proposes a method to combine contextual, structural, and spectral information for classification. The method is an integrated method for automatically classifying urban-area objects in very high-resolution satellite imagery. The approach a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ecc25faf441bf756b973040760d1593
https://doi.org/10.1016/j.jag.2014.01.014
https://doi.org/10.1016/j.jag.2014.01.014
Publikováno v:
Russian Electrical Engineering. 85:251-259
Nowadays electric power quality problems such as flicker (voltage fluctuation) are major concern of electric companies and industrial consumers. Identification of flicker sources is an important stage in customers convincing and in flicker reduction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8f52fa0b81511c27226824c343a0a3
https://doi.org/10.3103/s1068371214040142
https://doi.org/10.3103/s1068371214040142
Publikováno v:
2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS).
In this paper, a fast method for single image super-resolution using dictionary learning is proposed. In this method, a local high resolution (HR) dictionary is constructed for every patch in the input image. To do this, the information from neighbor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::836d2c52478cbb9c5c10d8100fa67d50
https://doi.org/10.1109/icspis.2016.7869901
https://doi.org/10.1109/icspis.2016.7869901
Publikováno v:
International Journal of Computer Theory and Engineering. :318-321
In recent years, the image processing intelligent based systems has been the subject of interest for many researchers. In this manner, interpretation of urban aerial hyperspectral textured images is lionizing due to special features of this images. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8d253c363ca9286f0f8e4b53a04c546
https://doi.org/10.7763/ijcte.2012.v4.474
https://doi.org/10.7763/ijcte.2012.v4.474
Autor:
Alireza Ahmadifard, Azade Mokari
Publikováno v:
2015 Signal Processing and Intelligent Systems Conference (SPIS).
In this paper we propose a fast method for single image super resolution using self-example learning method. We first divide input image into a number of blocks. For each block a dictionary, is learnt using image patches in the block and its eight ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3842999f5c9b1dc788b385337d0e5724
https://doi.org/10.1109/spis.2015.7422335
https://doi.org/10.1109/spis.2015.7422335
Retinal vessel segmentation using non-subsampled contourlet transform and multi-scale line detection
Publikováno v:
2014 Iranian Conference on Intelligent Systems (ICIS).
We present an effective method for automatically extracting blood vessels from colour images of retinal. The proposed method is based on non _ subsampled contourlet transform (NSCT) and line detectors. In the first step we enhance green channel of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a7fe912faf99ccc091d4c63955866e2
https://doi.org/10.1109/iraniancis.2014.6802586
https://doi.org/10.1109/iraniancis.2014.6802586
Publikováno v:
The 5th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2014).
The power electronic converters with fixed switching frequency causes electromagnetic propagation and creates severe harmonics with switching frequency and its multiples in the voltage and current. Presence of strong harmonics in current and in frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::915130fa6ddf7b264a23431100c484a8
https://doi.org/10.1109/pedstc.2014.6799377
https://doi.org/10.1109/pedstc.2014.6799377