Objectively Evaluating High-Dynamic-Range and Wide-Color-Gamut Color Accuracy

Pytlarz, Jaclyn; Pieri, Elizabeth; Atkins, Robin

doi:10.5594/m001711

Cited by 1 publication

(1 citation statement)

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“…Additionally, chromatic adaptation is necessary since ACES is scene-referred appearance based colorimetry with D60 (noon daylight with 6000K correlated color temperature) defined as the light source. Chromatic adaptation is the process by which the human A deltaE of 1-2 is considered to be the threshold of color difference detectability for human observers, with a tolerance of up to 3 in many applications [34], and represents a practical minimum error aim for the IDT. The tristimulus values can be calculated according to the color-matching properties of the CIE 1931 Standard Colorimetric Observer [35].…”

Section: Aces Idt Cost Functionmentioning

confidence: 99%

Bayesian Methods for Radiometric Calibration in Motion Picture Encoding Workflows

Figueroa¹,

Li²

2019

SMPTE Mot. Imag. J

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A method for estimating the Camera Response Function (CRF) of an electronic motion picture camera is presented in this work. The accurate estimation of the CRF allows for proper encoding of camera exposures into motion picture post-production workflows, like the Academy Color Encoding Specification (ACES), this being a necessary step to correctly combine images from different capture sources into one cohesive final production and minimize non-creative manual adjustments. Although there are well known standard CRFs implemented in typical video camera workflows, motion picture workflows and newer High Dynamic Range (HDR) imaging workflows have introduced new standard CRFs as well as custom and proprietary CRFs that need to be known for proper post-production encoding of the camera footage. Current methods to estimate this function rely on the use of measurement charts, using multiple static images taken under different exposures or lighting conditions, or assume a simplistic model of the function's shape. All these methods become problematic and tough to fit into motion picture production and post-production workflows where the use of test charts and varying camera or scene setups becomes impractical and Thank you to Dr. Pengcheng Shi for all his support, guidance and patience during these past years. Your knowledge, experience and wit helped me balance all aspects of my life to be able to complete this work. In addition, thank you to my dissertation committee for all their guidance and feedback, especially to Dr. Rui Li, for all the technical advice and the insightful conversations that led to finalizing the work presented in this dissertation. Last but not least, thank you to Dr. Jinwei Gu for providing the original inspiration and ideas that helped start up this work. v Dedicated to my family, Anabelle Lee, Ricardo José and Paola Beatriz.

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Section: Aces Idt Cost Functionmentioning

confidence: 99%