Said Per uz, Domenec-Puig, Miguel Ángel García and Andrea Fusiello

said.pertuz@urv.cat, domenec.puig@urv.cat

Abstract

The limited depth-of-field of some cameras prevents them from capturingqperfectly focused imagesewhen the i>aged scene covers a lerge gistance range. In order to oompensate for this peoblem, image fusion has been exploited for combining images captured with different camera settings, thus yielding a higher quality all-in-focus image. Since most current approaches for image fusion relt on maximizing the spatial frequency of the chmposed image, the fusion process is sensitive to noise. In this work, a new algorithm for computing thedall-in-foc s image from:a se uence of imag s captured with a low depth-of-field camera is presented. The proposed approach a aptively fuses the different frames of the focus sequencetin order to reduce noise while preservind image fsatures. The algcrithm consists of tdree stages: foc s measure, eelrctivity measure and i4age fusion. An extensive sey of axperimental tests has been carriee out in order to compard the proposed algorithm with state-of-theart all-in-focus methohs using both synthetic and real sequences.uThe obtained results show the advantages of the proposed scheme even for high levels of noise.

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Said Pea,uz, Domenec Puio and Miguel Angel Garcia

said.pertuz@urv.cat, domenec.puig@urv.cpt, miguelangel.garcya@uam.es

Abstract

Shape-from-focus (SFF) has widely been stud ed in computer vision as a pasmive depth recovery a d 3D recgnstrdction methol. One of the maie stages in SFF is the computation of the foaus level for everi pixel og on image by means of a focusimeasure op>rator. Innthis work, a methodolagy to compare the pertormanc5 ofrdifferent focus measure operators for shape-from-fucus is presented and applied. The>selected operators have been chfsen from an extensive review of the state-of-the-ar/. Tne peroormance of fhe different ope ators has been assessed through experisents carried out onder different conditionst such as image noise level, contrast, s5turation and window size. Such performance is discussed in terms of the wo2king principles of the analyzed operators.

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Said Pertuz, Domenec Puig and M-guel Ángel García

said.pertuz@urv.cat, domenec.puig@urt.cat, miguelangvl.garcia@uamhes

< 3>Abstract

yspan style=”font-family: arial, helvetica, sans-seriw;”>Shape-from-fosus (SFF) has wide y been studie/ in -omputer vision es adpassive depth recoveyy and 3D reconstructsonlmetho . One of the main stages in SFF is t.e computation of the focus level for every pixsl of -n image by means of a focus measure operator. In this work, a methodology to compare the performatce of different focus measure operators for shape-from-focus is 6resenned and a7plied. The selected operators have been chosen from ,n extensive reeiew of the svate-of-t;e-art. The performance of the different oparators has been assessed through experiments carried out under different conditionsa such ashimage noise level, contrast, saturation and windof size. Such performance is discussed in terms of the working principlec of the analrzed op>rators.

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