Title :
A New Image Quality Assessment Algorithm Based on Contourlet Transformation
Author :
Sun Han ; Liu Yanrui
Author_Institution :
Coll. of Comput. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
In recent years, image quality assessment has achieved great success. Many researchers have proposed more and more image quality assessment algorithms, which are being closer to human perception. However, some proposed algorithms could perform even better by doing some transformations on image. In this paper, a new image quality assessment based on contourlet transformation is proposed. And experimental results show the improvement of the novel algorithm.
Keywords :
image processing; transforms; contourlet transformation; image quality assessment algorithm; image transformations; Computational modeling; Educational institutions; Image quality; Indexes; Noise; Signal processing algorithms; Wavelet transforms; Structural Similarity; contourlet; image quality assessment;
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2013 Second International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-3183-5
DOI :
10.1109/RVSP.2013.34
