Title :
Performance analysis of two image vector quantization techniques
Author :
Ahalt, Stanley C. ; Chen, Prakoon ; Krishnamurthy, Ashok K.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
The authors compare the Y. Linde, A. Buzo, and R.M. Gray vector quantization algorithm (1980) with the frequency-sensitive competitive learning neural network. Each of these techniques is applied to two images, and the distortion and SNR are measured for various size codebooks. The results show that the neural network technique of designing codebooks yields results that are very close to the optimal design. Multiple images are included to show the results of quantization for various bit rates.<>
Keywords :
data compression; learning systems; neural nets; picture processing; SNR; data compression; distortion; frequency-sensitive competitive learning neural network; image compression; image vector quantization techniques; performance analysis; picture processing; size codebooks; Data compression; Image processing; Learning systems; Neural networks;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118576
