TY - GEN
T1 - Extended Neighbourhood Filter for LDR Displays
AU - Felix, P. Sijin
AU - John Mathew, Joshin
AU - Maan, Akshay
AU - James, Alex Pappachen
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Visual preservation and reproduction of subtle and feeble scene details is challenging during conversion from Hyper-spectral Image (HSI) to Low Dynamic Range (LDR) color images due to poor scene area to pixel density ratio, where a large geographical plane is mapped to a single pixel. This results in an averaging effect or a partial volume effect that affects the visual distinction of fine subtle details. Secondly, HSI data reduction to LDR color image involves sub-band averaging which again affects details distinction, especially structures of feeble strength. The proposed approach addresses this issue and improves the details in the scene for preservation and enhancement by modifying an existing HSI to LDR color image conversion method. An interim, detail enhancement stage is introduced. The results show a clear improvement in visual content reproduction and the numerical quantification also agrees to the same. The results are compared using three data sets and two other methods including the original method being modified.
AB - Visual preservation and reproduction of subtle and feeble scene details is challenging during conversion from Hyper-spectral Image (HSI) to Low Dynamic Range (LDR) color images due to poor scene area to pixel density ratio, where a large geographical plane is mapped to a single pixel. This results in an averaging effect or a partial volume effect that affects the visual distinction of fine subtle details. Secondly, HSI data reduction to LDR color image involves sub-band averaging which again affects details distinction, especially structures of feeble strength. The proposed approach addresses this issue and improves the details in the scene for preservation and enhancement by modifying an existing HSI to LDR color image conversion method. An interim, detail enhancement stage is introduced. The results show a clear improvement in visual content reproduction and the numerical quantification also agrees to the same. The results are compared using three data sets and two other methods including the original method being modified.
KW - Bilateral Filter
KW - Extended Neighborhood Filter
KW - High Dynamic Range
KW - Hyperspectral Image Color Visualization
KW - Image Enhancement
UR - http://www.scopus.com/inward/record.url?scp=85075009435&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075009435&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2019.8884825
DO - 10.1109/MWSCAS.2019.8884825
M3 - Conference contribution
AN - SCOPUS:85075009435
T3 - Midwest Symposium on Circuits and Systems
SP - 610
EP - 613
BT - 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems, MWSCAS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019
Y2 - 4 August 2019 through 7 August 2019
ER -