Title :
Adaptive Variable-Length Quantiser for Image Compression
Author :
Radi, Naeem ; Hussain, Abir Jaafar ; Al-Jumeily, Dhiya
Author_Institution :
Sch. of Comput. & Math. Sci., Liverpool John Moores Univ.
Abstract :
In this paper, a novel adaptive variable-length quantizer design is proposed and its application to predictive image coding is presented. The new quantiser makes advantage of the fact that more than 80% of the prediction error data usually reside near the origin and hence can be coded with small number of bits. The remaining 20% of the prediction error data can be coded with larger number of bits which results in smaller file size and enhanced quality of the reconstructed image. The simulation results showed improvements in the peak signal to noise ratio at the expense of increased computational complexity. The improvements in the quality of the compressed images overweight the computational complexity of the model
Keywords :
adaptive systems; computational complexity; data compression; image coding; image reconstruction; variable length codes; adaptive variable-length quantiser; computational complexity; image compression; image quality; image reconstruction; peak signal to noise ratio; prediction error data coding; predictive image coding; Computational complexity; Computational modeling; Image coding; Image reconstruction; Predictive coding; Pulse modulation; Quantization; Transmitters; Video compression; Videoconference;
Conference_Titel :
Innovations in Information Technology, 2006
Conference_Location :
Dubai
Print_ISBN :
1-4244-0674-9
Electronic_ISBN :
1-4244-0674-9
DOI :
10.1109/INNOVATIONS.2006.301977