Abstract
This paper addresses the conversion problem of High Dynamic Range (HDR) images into Low Dynamic Range (LDR) images. In this objective, separable non-linear multiresolution approaches are exploited as Image Tone Mapping Operators (TMOs). They are related on: (i) Essentially Non-Oscillatory (ENO) interpolation strategy developed by Harten namely Point-Value (PV) multiresolution family and Cell-Average (CA) multiresolution family; and (ii) Power-P multiresolution family introduced by Amat. These approaches have the advantage to take into account the singularities, such as edge points of the image, in the mathematical model thus preserving the structural information of the HDR images. Moreover the Gibbs phenomenon, harmful in tone mapped images, is avoided. The quality assessment of the tone mapped images is measured according to the TMQI metric. Simulation results show that the proposed TMOs provide good results compared to traditional TMO strategies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
