Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ali Taimori"'
Autor:
James Hopgood, Neil Finlayson, Gareth Williams, Kevin Dhaliwal, Aysha Ali, Erin Gaughan, Bethany Mills, Ali Taimori
The preprint presents a novel sensing approach to time-resolved fluorescence imaging. It is also supported by supplementary materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119c25b4d131b5bce9d96bd06308a8e0
https://doi.org/10.36227/techrxiv.22747286.v1
https://doi.org/10.36227/techrxiv.22747286.v1
Publikováno v:
Multimedia Tools and Applications. 80:12235-12247
Recompression is a prevalent form of multimedia content manipulation. Different approaches have been developed to detect this kind of alteration for digital images of well-known JPEG format. However, they are either limited in performance or complex.
Autor:
Ali Taimori, Duncan Humphries, Gareth Williams, Kevin Dhaliwal, Neil Finlayson, James Hopgood
Publikováno v:
Taimori, A, Humphries, D, Williams, G, Dhaliwal, K, Finlayson, N & Hopgood, J R 2022, ' Fast and robust single-exponential decay recovery from noisy fluorescence lifetime imaging ', IEEE Transactions on Biomedical Engineering, vol. 69, no. 12, pp. 3703-3716 . https://doi.org/10.1109/TBME.2022.3176224
Fluorescence lifetime imaging is a valuable technique for probing characteristics of wide ranging samples and sensing of the molecular environment. However, the desire to measure faster and reduce effects such as photo bleaching in optical photon-cou
Publikováno v:
IST
This paper introduces a dataset of front view car images collected from traffic scenes. Each image contains the bounding box of a vehicle which has cropped manually and accurately. The database also includes the parts corresponding to each frontal vi
Autor:
Ali Taimori, Farokh Marvasti
Publikováno v:
IEEE Transactions on Computational Imaging. 4:311-325
This paper presents an adaptive and intelligent sparse model for digital image sampling and recovery. In the proposed sampler, we adaptively determine the number of required samples for retrieving image based on space-frequency-gradient information c
Publikováno v:
Multimedia Tools and Applications. 76:7749-7783
This paper presents a novel technique to discover double JPEG compression traces. Existing detectors only operate in a scenario that the image under investigation is explicitly available in JPEG format. Consequently, if quantization information of JP
Publikováno v:
Journal of Mathematical Imaging and Vision. 54:269-286
The current double JPEG compression detection techniques identify whether or not an JPEG image file has undergone the compression twice, by knowing its embedded quantization table. This paper addresses another forensic scenario in which the quantizat
Autor:
Ali Taimori, Alireza Behrad
Publikováno v:
Multimedia Tools and Applications. 74:10735-10759
This paper presents a new method for automatic human face locating and tracking. The proposed method consists of two modules including face locating and face tracking. The face locating module has a hierarchical structure, which consists of a skin co
Publikováno v:
ISSPIT
This paper presents a new transform domain to evaluate the goodness of fit of natural image data to the common Benford's Law. The evaluation is made by three statistical fitness criteria including Pearson's chi-square test statistic, normalized cross
Publikováno v:
ISDA
This paper presents a vision based scheme for detecting flying vehicle using a new feature extraction and correspondence algorithm as well as a motion flow vectors classifier. The base of detection is to classify the motion flow vectors of object and