scholarly journals Luminance Attentive Networks for HDR Image and Panorama Reconstruction

2021 ◽  
Vol 40 (7) ◽  
pp. 181-192
Author(s):  
Hanning Yu ◽  
Wentao Liu ◽  
Chengjiang Long ◽  
Bo Dong ◽  
Qin Zou ◽  
...  
Keyword(s):  
Hdr Image

Fast noise removal algorithm for HDR image based on least square method

2009 ◽  
Vol 29 (4) ◽  
pp. 994-996
Author(s):  
De-quan SUN ◽  
Jun ZHANG ◽  
Xiao-feng LI ◽  
Hui LI
Keyword(s):  
Least Square Method ◽  
Noise Removal ◽  
Least Square ◽  
Hdr Image

Statistical analysis of residue signal for backward compatible HDR image coding

2017 ◽  
Author(s):  
Kutan Feyiz ◽  
Fatih Kamisli ◽  
Emin Zerman ◽  
Giuseppe Valenzise ◽  
Alper Koz ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Image Coding ◽  
Hdr Image Coding ◽  
Hdr Image

HDR image multi-bit watermarking using bilateral-filtering-based masking

2013 ◽  
Author(s):  
Vassilis Solachidis ◽  
Emanuele Maiorana ◽  
Patrizio Campisi
Keyword(s):  
Bilateral Filtering ◽  
Hdr Image

scholarly journals Backward Compatible Object Detection Using HDR Image Content

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 142736-142746
Author(s):  
Ratnajit Mukherjee ◽  
Miguel Melo ◽  
Vitor Filipe ◽  
Alan Chalmers ◽  
Maximino Bessa
Keyword(s):  
Object Detection ◽  
Image Content ◽  
Hdr Image

scholarly journals Relative sky radiance from multi-exposure all-sky camera images

2021 ◽  
Vol 14 (3) ◽  
pp. 2201-2217
Author(s):  
Juan C. Antuña-Sánchez ◽  
Roberto Román ◽  
Victoria E. Cachorro ◽  
Carlos Toledano ◽  
César López ◽  
...  
Keyword(s):  
Dynamic Range ◽  
Quality Criteria ◽  
High Dynamic Range ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
High Dynamic ◽  
Sky Radiance ◽  
Black Level ◽  
Hdr Image

Abstract. All-sky cameras are frequently used to detect cloud cover; however, this work explores the use of these instruments for the more complex purpose of extracting relative sky radiances. An all-sky camera (SONA202-NF model) with three colour filters narrower than usual for this kind of cameras is configured to capture raw images at seven exposure times. A detailed camera characterization of the black level, readout noise, hot pixels and linear response is carried out. A methodology is proposed to obtain a linear high dynamic range (HDR) image and its uncertainty, which represents the relative sky radiance (in arbitrary units) maps at three effective wavelengths. The relative sky radiances are extracted from these maps and normalized by dividing every radiance of one channel by the sum of all radiances at this channel. Then, the normalized radiances are compared with the sky radiance measured at different sky points by a sun and sky photometer belonging to the Aerosol Robotic Network (AERONET). The camera radiances correlate with photometer ones except for scattering angles below 10∘, which is probably due to some light reflections on the fisheye lens and camera dome. Camera and photometer wavelengths are not coincident; hence, camera radiances are also compared with sky radiances simulated by a radiative transfer model at the same camera effective wavelengths. This comparison reveals an uncertainty on the normalized camera radiances of about 3.3 %, 4.3 % and 5.3 % for 467, 536 and 605 nm, respectively, if specific quality criteria are applied.

HDR Image Capture

2006 ◽  
pp. 115-165 ◽  
Author(s):  
Erik Reinhard ◽  
Greg Ward ◽  
Sumanta Pattanaik ◽  
Paul Debevec
Keyword(s):  
Image Capture ◽  
Hdr Image
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