Title :
Fast and high quality super-resolution combined learning-based with TV regularization method
Author :
Goto, Tomio ; Suzuki, Shotaro ; Hirano, Satoshi ; Sakurai, Masaru
Author_Institution :
Dept. of Comput. Sci. & Eng., Nagoya Inst. of Technol., Nagoya, Japan
Abstract :
Super-resolution image reconstruction is an important technology in many image processing areas such as image sensing, medical imaging, satellite imaging, and television signal conversion. It is also a key word of a recent consumer HDTV set that utilizes the CELL processor. Among various super-resolution methods, the learning-based method is one of the most promising solutions. The problem of the learning-based method is its enormous computational time for image searching from the large database of training images. We have proposed a new Total Variation (TV) regularization super-resolution method that utilizes a learning-based super-resolution method. We have obtained excellent results in image quality improvement. However, our proposed method needs long computational time because of the learning-based method. In this paper, we examine two methods that reduce the computational time of the learning-based method. The resulting algorithms reduce complexity significantly while maintaining comparable image quality. This enables the adoption of learning-based super-resolution to the motion pictures such as HDTV and internet movies.
Keywords :
high definition television; image motion analysis; image reconstruction; image resolution; learning (artificial intelligence); microprocessor chips; CELL processor; Internet movies; TV regularization method; consumer HDTV set; high quality superresolution combined learning method; image processing; image quality; image sensing; medical imaging; motion pictures; satellite imaging; superresolution image reconstruction; television signal conversion; total variation regularization superresolution method; training image database; Image edge detection; Image reconstruction; Image resolution; Learning systems; Signal resolution; TV; Training; Fast algorithm; Learning-based method; Super-resolution; Total Variation regularization;
Conference_Titel :
Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-61284-843-3
DOI :
10.1109/ISCE.2011.5973816