Chromatic aberration and depth extraction

Garcia, J.; Sánchez, Juan Manuel Franco; Orriols, Xavier; Binefa, Xavier

doi:10.1109/icpr.2000.905499

Cited by 24 publications

(15 citation statements)

References 13 publications

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“…These techniques are not transferrable to images acquired with regular imaging systems. With the goal of developing an auto-focus or depth indicator, Garcia et al (2000) measure the blurring resulting from ACA on different colour planes around step edges.…”

Section: Introductionmentioning

confidence: 99%

Calibration and removal of lateral chromatic aberration in images

Mallon

Whelan

2007

Pattern Recognition Letters

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This paper addresses the problem of compensating for lateral chromatic aberration in digital images through colour plane realignment. Two main contributions are made: the derivation of a model for lateral chromatic aberration in images, and the subsequent calibration of this model from a single view of a chess pattern. These advances lead to a practical and accurate alternative for the compensation of lateral chromatic aberrations. Experimental results validate the proposed models and calibration algorithm. The effects of colour channel correlations resulting from the camera colour filter array interpolation is examined and found to have a negligible magnitude relative to the chromatic aberration. Results with real data show how the removal of lateral chromatic aberration significantly improves the colour quality of the image.

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Section: Introductionmentioning

confidence: 99%

Calibration and removal of lateral chromatic aberration in images

Mallon

Whelan

2007

Pattern Recognition Letters

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“…(Note that the chromatic blur coding information resulting from such pairwise comparisons has previously been used in camera systems to reconstruct a dense depth (or object distance) map using a single image [16] . Also, other possible uses of chromatic blur can be found in [1] or [17] ).…”

Section: Estimating the Depth Mapmentioning

confidence: 99%

Extended depth-of-field using sharpness transport across color channels

et al. 2009

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In this paper we present an approach to extend the Depth-of-Field (DoF) for cell phone miniature camera by concurrently optimizing optical system and post-capture digital processing techniques. Our lens design seeks to increase the longitudinal chromatic aberration in a desired fashion such that, for a given object distance, at least one color plane of the RGB image contains the in-focus scene information. Typically, red is made sharp for objects at infinity, green for intermediate distances, and blue for close distances. Comparing sharpness across colors gives an estimation of the object distance and therefore allows choosing the right set of digital filters as a function of the object distance. Then, by copying the high frequencies of the sharpest color onto the other colors, we show theoretically and experimentally that it is possible to achieve a sharp image for all the colors within a larger range of DoF. We compare our technique with other approaches that also aim to increase the DoF such as Wavefront coding.

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“…The relative blur between two defocused images is used to estimate the depth of a scene. Garcia et al [4] have proposed to use two defocused color images to estimate the depth. Axial chromatic aberrations help in capturing these images in a single shot.…”

Section: Related Workmentioning

confidence: 99%

Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations / Optimale Tiefenschätzung in einer Einzelaufnahme mittels Computational Imaging anhand chromatischer Aberrationen

Atif

Jähne

2013

tm - Technisches Messen

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We present a computational imaging approach to estimate the depth from a single image using axial chromatic aberrations. It includes a co-design of optics and digital processing to select the optimal parameters of a lens such as focal length, f -number, and chromatic focal shift according to the performance of a depth estimation algorithm on the digital side. A simulation framework evaluates the complete systems performance in different imaging conditions including optimal axial chromatic lens aberration. A low-complexity algorithm estimates the depth map of real scenes. Experiments on real and synthetic scenes show the feasibility of the proposed system for depth estimation. In the case of relatively broadband object spectra and a lens with focal length of 4 mm, depth is estimated with an RMS error of 6-10%.Zusammenfassung In diesem Beitrag stellen wir einen neuartigen Ansatz vor, der es ermöglicht, die Tiefe aus einer einzigen Aufnahme anhand chromatischer Aberrationen zu bestimmen. Ferner wird ein optisches Designverfahren zur Auffindung der bestmöglichen optischen Parameter, wie die Brennweite, die Blendenzahl und die axiale chromatische Aberration in Abstimmung mit der Leistung des Algorithmus für die Tiefenschätzung auf digitaler Seite beschrieben. Für verschiedene Aufnahmebedingungen wird die Leistung des Gesamtsystems in einer Simulationsumgebung unter der Annahme einer optimal vorliegenden chromatischen Aberration untersucht. Ein Algorithmus geringer Komplexität schätzt die Tiefenkarte für reale Aufnahmen. Untersuchungen an realen Szenen zeigen die Machbarkeit des hier vorgestellten Systems zur Tiefenschätzung. Im Falle relativ breitbandiger Objektspektren und einer Linse mit einer Brennweite von 4 mm wird die Tiefe mit einem RMS-Fehler von 6-10% geschätzt.

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Chromatic aberration and depth extraction

Cited by 24 publications

References 13 publications

Calibration and removal of lateral chromatic aberration in images

Calibration and removal of lateral chromatic aberration in images

Extended depth-of-field using sharpness transport across color channels

Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations / Optimale Tiefenschätzung in einer Einzelaufnahme mittels Computational Imaging anhand chromatischer Aberrationen

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