2014 IEEE International Conference on Computer and Information Technology (CIT) (2014)
Sept. 11, 2014 to Sept. 13, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2014.163
Image compression has been a long-term focus in the image processing field, which plays an important role in improving the image performance in complex system. This paper aims at addressing an important issue in the design of image compression algorithm, which is the bit rate real-time control strategy for image. To cope with this problem, this paper presents a novel approach by using advanced computational intelligence method, namely, type-2 fuzzy logic. In our proposed algorithm, we focus on the construction of fuzzy sets and the design of type-2 fuzzy logic on the quantization control used in discrete cosine transform (DCT). Moreover, we provide an image coding system with proposed fuzzy optimization algorithm, in which we establish the fuzzy rules of the gain factor used in image compression. Through simulations, the effectiveness of the proposed system is validated. It shows satisfactory performance in keeping the image bit rate.
Image coding, Bit rate, Discrete cosine transforms, Fuzzy logic, Quantization (signal), Uncertainty, Streaming media
Y. Chen and X. Luo, "Type-2 Fuzzy Logic Based DCT for Intelligent Image Compression," 2014 IEEE International Conference on Computer and Information Technology (CIT), Xi'an, China, 2014, pp. 908-912.