Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Avadhanam, Niranjan"'
In a surround view system, the image color and tone captured by multiple cameras can be different due to cameras applying auto white balance (AWB), global tone mapping (GTM) individually for each camera. The color and brightness along stitched seam l
Externí odkaz:
http://arxiv.org/abs/2406.11066
Heart rate and respiratory rate measurement is a vital step for diagnosing many diseases. Non-contact camera based physiological measurement is more accessible and convenient in Telehealth nowadays than contact instruments such as fingertip oximeters
Externí odkaz:
http://arxiv.org/abs/2111.00390
Publikováno v:
2015 International Conference on Applied & Theoretical Computing & Communication Technology (iCATccT); 2015, p161-165, 5p
Autor:
Avadhanam, Niranjan, Algazi, Ralph
Publikováno v:
Avadhanam, Niranjan; & Algazi, Ralph. (1999). Evaluation of a Human Vision System based Image Fidelity Metric for Image Compression. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/70q0r049
Conventional mean squared error based methods for objective image quality assessment are not well correlated with human evaluation. The design of better objective measures of quality has attracted a lot of attention and several image quality metrics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::6ec563a0b76bfd4f271cdf22a7b369c4
http://www.escholarship.org/uc/item/70q0r049
http://www.escholarship.org/uc/item/70q0r049
Publikováno v:
Algazi, Ralph; Avadhanam, Niranjan; & Estes, Robert R.(1997). Quantifying Coding Performance for Preprocessed Images. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/3jm348p7
Typical objective methods for quantifying image quality, as part of evaluating coder performance, are obtained by computing a single or several numbers as a function of the difference image between the original and coded images. Pre-processing images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::141423f87393d72a7a40543ee8da98ef
http://www.escholarship.org/uc/item/3jm348p7
http://www.escholarship.org/uc/item/3jm348p7
Autor:
Avadhanam, Niranjan, Algazi, Ralph
Publikováno v:
Avadhanam, Niranjan; & Algazi, Ralph. (1996). Prediction and Measurement of Quality in Still Image Coding. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/6sv1b86t
In image coding applications, quantitative quality metrics which approximate the perceived quality of an image can be used for evaluating the performance of coders, designing new coders and optimizing existing coders. In this paper, we consider image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::844a6ca6762a41cc2a1e4952b41460cf
http://www.escholarship.org/uc/item/6sv1b86t
http://www.escholarship.org/uc/item/6sv1b86t
Autor:
Avadhanam, Niranjan
Publikováno v:
IndraStra Global.
Fractals have been shown to be useful in the analysis of time series data and in classification of natural shapes and textures. A Maximum Likelihood Estimator is used to measure the parameter H which is directly related to the fractal dimension. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn23813652::17bcad92360b24d95ae57ee08344ce30
https://igi.indrastra.com/items/show/104858
https://igi.indrastra.com/items/show/104858
Publikováno v:
Proceedings of SPIE; Nov2008, Issue 1, p681417-681417-8, 8p
Autor:
Avadhanam, Niranjan, Algazi, V. Ralph
Publikováno v:
Proceedings of SPIE; Nov1998, Issue 1, p44-53, 10p
Publikováno v:
Proceedings of SPIE; Nov1997, Issue 1, p123-133, 11p