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Evaluation and comparison of techniques for reconstructing the point spread function of images blurred by uniform linear motion

Evaluación y comparación de técnicas para la reconstrucción de la función de dispersión de punto de imágenes degradadas por difuminación lineal uniforme

dc.creatorCortés-Osorio, Jimmy A.
dc.creatorLópez-Robayo, Cristian D.
dc.creatorHernández-Betancourt, Nathalia
dc.date2018-05-14
dc.date.accessioned2021-03-18T21:06:57Z
dc.date.available2021-03-18T21:06:57Z
dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/789
dc.identifier10.22430/22565337.789
dc.identifier.urihttp://test.repositoriodigital.com:8080/handle/123456789/11739
dc.descriptionIn the field of digital image processing, it is common to find different types of degradation. One of them is motion blur, which is caused by the relative movement between the camera and the observed object. It produces a low-contrast trace on the image that follows the trajectory of the movement. If the relative velocity is constant and the blur is invariant across the entire image, the resulting blur can be modeled by means of the Point Spread Function (PSF) and using the trace’s length and the angle parameters. This work evaluated the accuracy of the estimation of the angle and length parameters, and the robustness to Additive White Gaussian Noise of a set of spatial and frequency approaches for reconstructing the PSF. It is important to highlight that the algorithms’ processing time was also considered. In total, 20 512x512 pixels synthetically-degraded images were used. Besides, five of the best-known techniques for estimating the angle and three for the length of the PSF were evaluated. The experimental results revealed the techniques with the lowest absolute mean error for estimating the angle and the length of the PSF in noise-free images: 2D Cepstrum Transform and 1D Cepstrum Transform, respectively.en-US
dc.descriptionEn el área del procesamiento digital de imágenes, es frecuente encontrar diferentes tipos de degradaciones, como lo es la difuminación por movimiento (motion blur), la cual es causada por el movimiento relativo entre la cámara y el objeto observado. Esto produce sobre la imagen una estela de bajo contraste que sigue la trayectoria del movimiento. Si la velocidad relativa es constante y el desenfoque es invariante sobre toda la imagen, la difuminación causada puede ser modelada por medio de la Función de Dispersión de Punto (PSF) usando los parámetros de longitud y ángulo de la estela dejada. Este trabajo evaluó la exactitud en la estimación de dichos parámetros y la robustez al Ruido Aditivo Blanco Gaussiano de un grupo de estrategias espaciales y en frecuencia para la reconstrucción de la PSF, además se consideró el tiempo de ejecución de los algoritmos presentados. Se usaron 20 imágenes de 512x512 píxeles degradadas sintéticamente. Se evaluaron cinco de las técnicas más conocidas para la estimación del ángulo y tres para la longitud. Los resultados experimentales revelaron que las técnicas con los errores absolutos promedio más bajos para la estimación del ángulo y la longitud de la PSF en imágenes sin ruido son la Transformada Cepstrum 2D y la Transformada Cepstrum 1D, respectivamente.es-ES
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dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/789/917
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/789/991
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/789/1211
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/789/1257
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dc.rightshttps://creativecommons.org/licenses/by/3.0/deed.es_ESen-US
dc.sourceTecnoLógicas; Vol. 21 No. 42 (2018); 211-229en-US
dc.sourceTecnoLógicas; Vol. 21 Núm. 42 (2018); 211-229es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectCepstrumen-US
dc.subjectMotion bluren-US
dc.subjectSteerable Filtersen-US
dc.subjectLinear Point Spread Functionen-US
dc.subjectReconstructionen-US
dc.subjectHough transformen-US
dc.subjectRadon transformen-US
dc.subjectCepstrumes-ES
dc.subjectDifuminación por movimientoes-ES
dc.subjectFiltros adaptativoses-ES
dc.subjectFunción de Dispersiónes-ES
dc.subjectMovimiento lineal uniformees-ES
dc.subjectReconstrucciónes-ES
dc.subjectTransformada de Houghes-ES
dc.subjectTransformada de Radones-ES
dc.titleEvaluation and comparison of techniques for reconstructing the point spread function of images blurred by uniform linear motionen-US
dc.titleEvaluación y comparación de técnicas para la reconstrucción de la función de dispersión de punto de imágenes degradadas por difuminación lineal uniformees-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES


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