Synonyms
Definition
High dynamic range (HDR) imaging comprises a range of techniques for capturing, storing, editing, transmitting, and displaying images and video with an extended range of values between black and white, compared with traditional imaging techniques. This means that HDR images can be better representations of real scenes than conventional photographs, bringing associated enhanced realism and visual quality.
Introduction
Light levels to which humans are routinely exposed range from dim starlight to bright sunlight. While human vision cannot resolve detail over this enormous range simultaneously, through adaptive processes active in the visual system, humans can interpret and navigate through scenes that range from 10−6 to 108 cd∕m 2 [1]. This represents a range of illumination spanning around...
References
Hood DC, Finkelstein MA (1986) Sensitivity to light. In: Boff KR, Kaufman LR, Thomas JP (eds) Handbook of perception and human performance. Wiley, New York
Kunkel T, Reinhard E (2010) A reassessment of the simultaneous dynamic range of the human visual system. In: Proceedings of the 7th symposium on applied perception in graphics and visualization. APGV ’10. ACM, New York, pp 17–24
ITU-R (2015) Recommendation ITU-R BT.2020-2, parameter values for ultra-high definition television systems for production and international programme exchange
Vangorp P, Mantiuk RK, Bazyluk B, Myszkowski K, Mantiuk R, Watt SJ, Seidel HP (2014) Depth from HDR: depth induction or increased realism? In: Proceedings of the ACM symposium on applied perception, pp 71–78
Oppenheim AV, Schafer R, Stockham T (1968) Nonlinear filtering of multiplied and convolved signals. Proc IEEE 56(8):1264–1291
Stockham T (1972) Image processing in the context of a visual model. Proc IEEE 60(7):828–842
Miller NJ, Ngai PY, Miller DD (1984) The application of computer graphics in lighting design. J IES 14:6–26
Tumblin J, Rushmeier H (1993) Tone reproduction for computer generated images. IEEE Comput Graph Appl 13(6):42–48
Ward GJ (1994) The radiance lighting simulation and rendering system. In: Proceedings of the 21st annual conference on Computer graphics and interactive techniques. SIGGRAPH ’94. ACM, New York, pp 459–472
Debevec P, Malik J (1997) Recovering high dynamic range radiance maps from photographs. In: SIGGRAPH ’97: proceedings of the 24th annual conference on computer graphics and interactive techniques. ACM, New York, pp 369–378
Debevec P (1998) Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with illumination and high dynamic range photography. In: SIGGRAPH 98 conference proceedings. Annual conference series, pp 45–50
Ashikhmin M (2002) A tone mapping algorithm for high contrast images. In: Proceedings of 13th Eurographics workshop on rendering, pp 145–155
Durand F, Dorsey J (2002) Fast bilateral filtering for the display of high-dynamic-range images. ACM Trans Graph 21(3):257–266
Fattal R, Lischinski D, Werman M (2002) Gradient domain high dynamic range compression. ACM Trans Graph 21(3):249–256
Reinhard E, Stark M, Shirley P, Ferwerda J (2002) Photographic tone reproduction for digital images. ACM Trans Graph 21(3):267–276
Seetzen H, Whitehead LA, Ward G (2003) A high dynamic range display using low and high resolution modulators. In: The society for information display digest
Tocci MD, Kiser C, Tocci N, Sen P (2011) A versatile HDR video production system. ACM Trans Graph 30(4):41
SMPTE (2014) ST 2084:2014 – SMPTE standard - high dynamic range electro-optical transfer function of mastering reference displays
ARIB STD-B67 (2015) Essential parameter values for the extended image dynamic range television (eidrtv) system for programme production
ITU-R (2016) Recommendation ITU-R BT.2100, image parameter values for high dynamic range television for use in production and international programme exchange
Damberg G, Gregson J, Heidrich W (2016) High brightness HDR projection using dynamic freeform lensing. ACM Trans Graph 35(3):24
Fairchild MD (2007) The HDR photographic survey. In: Proceedings of the fifteenth color imaging conference: color science and engineering systems, technologies, and applications, vol 15, The Society for Imaging Science and Technology, pp 233–238
Froehlich J, Grandinetti S, Eberhardt B, Walter S, Schilling A, Brendel H (2014) Creating cinematic wide gamut HDR-video for the evaluation of tone mapping operators and HDR-displays. In: Proceedings SPIE. Volume 9023. 9023–9023–10
ITU-R (2018) Report ITU-R BT.2245-5, HDTV and UHDTV including HDR-TV test materials for assessment of picture quality
Akyüz AO, Reinhard E (2007) Noise reduction in high dynamic range imaging. J Vis Commun Image Represent 18(5):266–276
Ward G (2003) Fast, robust image registration for compositing high dynamic range photographs from hand-held exposures. J Graph Tools 8(2):17–30
Khan E, Akyuz A, Reinhard E (2006) Ghost removal in high dynamic range images. In: IEEE International conference on image processing. IEEE Computer Society, Washington, DC, pp 2005–2008
Granados M, Tompkin J, Kim KI, Theobalt C (2013) Automatic noise modeling for ghost-free HDR reconstruction. ACM Trans Graph 32(6):201
Mertens T, Kautz J, van Reeth F (2007) Exposure fusion. In: IEEE Pacific conference on computer graphics and applications, pp 382–390
Reinhard E, Heidrich W, Debevec P, Pattanaik S, Ward G, Myszkowski K (2010) High dynamic range imaging: acquisition, display and image-based lighting, 2nd edn. Morgan Kaufmann
Banterle F, Ledda P, Debattista K, Chalmers A (2006) Inverse tone mapping. In: GRAPHITE ’06: proceedings of the 4th international conference on computer graphics and interactive techniques in Australasia and Southeast Asia, pp 349–356
van Hateren JH (2006) Encoding of high dynamic range video with a model of human cones. ACM Trans Graph 25(4):1380–1399
McCann JJ, Rizzi A (2011) The art and science of HDR imaging, vol 26. Wiley
Fairchild MD, Johnson GM (2002) Meet iCAM: an image color appearance model. In: Proceedings of the 10th IS&T/SID color imaging conference, Scottsdale, pp 33–38
Kuang J, Fairchild MD (2007) iCAM06, HDR, and image appearance. In: Proceedings of the 15th IS&T/SID color imaging conference, pp 249–254
Reinhard E, Pouli T, Kunkel T, Long B, Ballestad A, Damberg G (2012) Calibrated image appearance reproduction. ACM Trans Graph 31(6):201
Mantiuk R, Daly S, Kerofsky L (2008) Display adaptive tone mapping. ACM Trans Graph 27(3):68
Ward G, Rushmeier H, Piatko C (1997) A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans Vis Comput Graph 3(4):291–306
Narwaria M, Mantiuk R, Da Silva MP, Le Callet P (2015) HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images. J Electron Imaging 24(1):010501
Aydın TO, Čadík M, Myszkowski K, Seidel HP (2010) Video quality assessment for computer graphics applications. ACM Trans Graph 29(6):161
Yeganeh H, Wang Z (2013) Objective quality assessment of tone-mapped images. IEEE Trans Image Process 22(2):657–667
Kainz F, Bogart R, Hess D (2003) The OpenEXR image file format. In: SIGGRAPH technical sketches
ISO/IEC 18477-2:2016 (2016) Information technology – Scalable compression and coding of continuous-tone still images – Part 2: Coding of high dynamic range imaging
ISO/IEC 29199-2:2012 (2012) Information technology – JPEG XR image coding system – Part 2: Image coding specification
ITU-R (2018) Report ITU-R BT.2408-1, operational practices in HDR television production
Miller S, Nezamabadi M, Daly S (2013) Perceptual signal coding for more efficient usage of bit codes. SMPTE Motion Imaging J 122(4):52–59
Borer T (2014) Non-linear opto-electrical transfer functions for high dynamic range television. Technical Report WHP 283, BBC
François E, van de Kerkhof L (2016) A single-layer HDR video coding framework with SDR compatibility. In: International broadcasting convention
ETSI TS 103 433 (2016) High-performance single layer directly standard dynamic range (SDR) compatible high dynamic range (HDR) system for use in consumer electronics devices (SL-HDR1)
Author information
Authors and Affiliations
Corresponding author
Section Editor information
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Reinhard, E. (2020). High Dynamic Range Imaging. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_843-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-03243-2_843-1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03243-2
Online ISBN: 978-3-030-03243-2
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering