Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Rajiv Soundararajan"'
Publikováno v:
IEEE Access, Vol 11, Pp 68216-68230 (2023)
The quality assessment (QA) of restored low-light images is an important tool for benchmarking and improving low-light restoration (LLR) algorithms. While several LLR algorithms exist, the subjective perception of the restored images has been much le
Externí odkaz:
https://doaj.org/article/37c0e6d89c8c4e4a851c6cc25a218037
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7235-7247 (2022)
Pansharpening refers to the process of enhancing the spatial resolution of a multispectral image with the help of a high spatial resolution panchromatic (PAN) image. Quality assessment (QA) of pansharpened images helps provide a formal framework for
Externí odkaz:
https://doaj.org/article/cc68fa93417a47c4b84d413bc8d61aaf
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Sameer Malik, Rajiv Soundararajan
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
IEEE Signal Processing Letters. 28:170-174
We consider the problem of robust no reference (NR) video quality assessment (VQA) where the algorithms need to have good generalization performance when they are trained and tested on different datasets. We specifically address this question in the
HOT CARRIER STRESS EFFECT ON THE PERFORMANCE OF SECOND ORDER OVERSAMPLING CMOS DELTA-SIGMA MODULATOR
Autor:
Rajiv Soundararajan, Ashok Srivastava
Publikováno v:
2010 GSW Proceedings.
Autor:
Soma Biswas, Rajiv Soundararajan
Publikováno v:
Signal Processing: Image Communication. 72:92-104
Machine vision quality (MVQ) assessment for face detection refers to image quality as judged by face detection algorithms. While perceptual image quality usually depends on human observers, MVQ depends on factors such as the face detection algorithm
We consider the problem of temporal view synthesis, where the goal is to predict a future video frame from the past frames using knowledge of the depth and relative camera motion. In contrast to revealing the disoccluded regions through intensity bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a452afdbba15446297dcebca18c44ef2
Autor:
Sameer Malik, Rajiv Soundararajan
Publikováno v:
ICIP
We study the problem of low light image restoration through contrast enhancement and denoising. We approach this problem by learning a model that relates a noisy low light and well lit image pair. The low light image is modeled to suffer from contras
The study of video prediction models is believed to be a fundamental approach to representation learning for videos. While a plethora of generative models for predicting the future frame pixel values given the past few frames exist, the quantitative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8b2715f34eec1892118043eb8c2c393