A Novel Method to Increase LinLog CMOS Sensors’ Performance in High Dynamic Range Scenarios

Images from high dynamic range (HDR) scenes must be obtained with minimum loss of information. For this purpose it is necessary to take full advantage of the quantification levels provided by the CCD/CMOS image sensor. LinLog CMOS sensors satisfy the above demand by offering an adjustable response c...

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Detalles Bibliográficos
Autores: Martínez Sánchez, Antonio, Fernández, Carlos, Navarro Lorente, Pedro Javier, Iborra García, Andrés José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:España
Institución:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/5143
Acceso en línea:http://hdl.handle.net/10317/5143
http://www.mdpi.com/1424-8220/11/9/8412
Access Level:acceso abierto
Palabra clave:Image sensors
Sensores de imagen
Outdoor vision
Visión exterior
HDR imaging
Imágenes HDR
Teoría de la Señal y las Comunicaciones
Descripción
Sumario:Images from high dynamic range (HDR) scenes must be obtained with minimum loss of information. For this purpose it is necessary to take full advantage of the quantification levels provided by the CCD/CMOS image sensor. LinLog CMOS sensors satisfy the above demand by offering an adjustable response curve that combines linear and logarithmic responses. This paper presents a novel method to quickly adjust the parameters that control the response curve of a LinLog CMOS image sensor. We propose to use an Adaptive Proportional-Integral-Derivative controller to adjust the exposure time of the sensor, together with control algorithms based on the saturation level and the entropy of the images. With this method the sensor’s maximum dynamic range (120 dB) can be used to acquire good quality images from HDR scenes with fast, automatic adaptation to scene conditions. Adaptation to a new scene is rapid, with a sensor response adjustment of less than eight frames when working in real time video mode. At least 67% of the scene entropy can be retained with this method.