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Título: | Comparison between Digital Tone-Mapping Operators and a Focal-Plane Pixel-Parallel Circuit |
Autor: | Nunes, Gustavo M.S.; Oliveira, Fernanda D.V.R.; Farias, Mylène C.Q.; Gomes, José Gabriel; Petraglia, Antonio; Fernández-Berni, J. CSIC ORCID CVN; Carmona-Galán, R. CSIC ORCID ; Rodríguez-Vázquez, Ángel CSIC ORCID | Palabras clave: | Tone mapping Focal plane High dynamic range Color image processing Image quality |
Fecha de publicación: | 2020 | Editor: | Springer Nature | Citación: | Signal Processing: Image Communication, 88: 115937 (2020) | Resumen: | In a previous work, we proposed a color extension of an existing focal-plane tone-mapping operator (FPTMO) and introduced circuit modifications that led to smaller sensing array area and simpler off-chip white-balance operations. The proposed FPTMO chip was fabricated and its experimental test setup is under development. In the present work, we systematically compare the previously proposed FPTMOs with conventional digital tone-mapping operators (DTMOs), both in terms of overall image quality and execution time. To assess the image quality, we use the Tone-Mapped image Quality Index (TMQI) metric, the Blind Tone-Mapped Quality Index (BTMQI) metric, and an image colorfulness metric. By statistically comparing the results given by both metrics, we verify that the proposed FPTMOs achieve results similar to those obtained with DTMOs, occasionally outperforming them. To compare the tone-mapping operators execution times, we perform a detailed complexity analysis. Results show that system-level software FPTMO descriptions (FPTMO functionality described in software) rank among the fastest DTMOs and that the hardware FPTMO (described in software) speed-up depends on the target frame rate. For 30-frames-per-second color image generation, the fastest FPTMO is 15 times faster than the DTMO with highest TMQI and BTMQI metric scores, and 170 times faster than the DTMO with best colorfulness metric score. | Versión del editor: | https://doi.org/10.1016/j.image.2020.115937 | URI: | http://hdl.handle.net/10261/220017 | DOI: | 10.1016/j.image.2020.115937 |
Aparece en las colecciones: | (IMSE-CNM) Artículos |
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