High dynamic range content acquisition from multiple exposures

• Autores: Raissel Ramirez Orozco
• Directores de la Tesis: Alessandro Artusi (dir. tes.), Céline Loscos (dir. tes.), Ignacio Martín Campos (dir. tes.)
• Lectura: En la Universitat de Girona ( España ) en 2016
• Idioma: inglés
• Tribunal Calificador de la Tesis: Kadi Bouatouch (presid.), Gustavo Ariel Patow (secret.), Daniela Tost Pardell (voc.)
• Programa de doctorado: Programa de Doctorado en Tecnología por la Universidad de Girona
• Enlaces
  • Tesis en acceso abierto en: TDX
• Resumen

  • The limited dynamic range of digital images can be extended by composing different exposures of the same scene to produce HDR images. This thesis is composed of an overview of the state of the art techniques and three methods to tackle the image alignment and deghosting problems in the HDR imaging domain. The first method detects the areas affected by motion, registers the dynamic objects over a reference image, and combines low-dynamic range values to recover HDR values in the whole image. The second approach builds multiscopic HDR images from LDR multi-exposure images. It is based on a patch match algorithm which was adapted and improved to take advantage of epipolar geometry constraints of stereo images. The last method proposes to replace under/over exposed pixels in the reference image by using valid HDR values from other images in the multi-exposure LDR image sequence.