In this paper, we present BoostHDR, a novel method for compressing high dynamic range (HDR) images. The algorithm leverages on a novel segmentation-based tone mapping operator (TMO) which relaxes the no seams constraint. Our method can work with both JPEG and JPEG2000 encoders. Moreover, it provides better results compared to the state of the art in HDR images compression algorithms in terms of bit per pixels (bpp), and visual quality using objective metrics.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

BoostHDR: a novel backward-compatible method for HDR images

Banterle F;Scopigno R
2012

Abstract

In this paper, we present BoostHDR, a novel method for compressing high dynamic range (HDR) images. The algorithm leverages on a novel segmentation-based tone mapping operator (TMO) which relaxes the no seams constraint. Our method can work with both JPEG and JPEG2000 encoders. Moreover, it provides better results compared to the state of the art in HDR images compression algorithms in terms of bit per pixels (bpp), and visual quality using objective metrics.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
2012
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXV
Applications of Digital Image Processing XXXV
8
978-0-8194-9216-6
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1380071
SPIE-INT SOC OPTICAL ENGINEERING
BELLINGHAM, WA 98227-0010
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
12 August 2012
San Diego, CA, USA
HDR Imaging
HDR Image Compression
I.4.1 Image Processing and Computer Vision. Enhancement
I.4.1 Image Processing and Computer Vision. Filtering
I.4.2 Compression
Grant agreement231809 Tipo ProgettoEU_FP7
2
restricted
Banterle F.; Scopigno R.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Tools and Expertise for 3D Collection Formation
   3D-COFORM
   FP7
   231809
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/175310
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