VLSI Implementation of Computation Efficient Color Image Compression Scheme Based on Adaptive Decimation for Portable Device Application
Article
First Online:
Received:
Revised:
Accepted:
- 127 Downloads
- 1 Citations
Abstract
Adaptive Decimation can be applied to compress images with good visual quality and at low bit-rate, but involving floating point computation that requires the use of medium speed processors to achieve real time operation. A new approach proposed restructures the Adaptive Decimation algorithm, to a form using only a few simple arithmetic operations, which can be implemented with simple logical circuits. The encoder is practically free from complex numerical computation. Hardware implementation of the proposed algorithm was realized in FPGA. The architecture of the encoder is simple and suitable for applications in the development of low cost non-processor based portable device real time application.
Keywords
Color image compression Adaptive decimation VLSIReferences
- 1.Jurgen, R. K. (1997). Digital consumer electronics handbook, McGraw Hill.Google Scholar
- 2.Gersho, A., & Gray, R. M. (1992). Vector quantization and signal compression. Dordrecht: Kulwer.MATHGoogle Scholar
- 3.Tsang, P. W. M. (1995). A high quality image compression technique for low cost multimedia applications. IEEE Transactions on Consumer Electronics, 41, 140–149.CrossRefGoogle Scholar
- 4.Tsang, P. W. M., & Tsang, W. H. (1995). An improved interpolative vector quantization scheme using non-recursive adaptive decimation. Pattern Recognition Letters, 16, 1043–1050.CrossRefGoogle Scholar
- 5.Tsang, P. W. M. (1997). A Novel interpolative vector quantization scheme. Image Communication, 11, 119–135.Google Scholar
- 6.Tsang, P. W. M, Lee, W.T. (1996). A novel interpolation codec for low bit rate application. Proc. ICIP’96, Lausanne. 677–680.Google Scholar
- 7.Tsang, P. W. M, Lee, W. T. (1996). Small codebook interpolative vector quantization system. Proc. ISSPA’96, Gold Coast. 136–139.Google Scholar
- 8.Tsang, P. W. M., Lee, W. T. (1997). An adaptive decimation and interpolation scheme for low complexity image compression. Sig. Pro. 1997. 391–401.Google Scholar
- 9.Kovac, M., & Ranganathan, N. (1995). JAGUAR: A fully pipelined VLSI architecture for JPEG image compression standard. IEEE Proceedings, 83, 247–257.CrossRefGoogle Scholar
- 10.Yuen, P. C., Lee W. F., Tsang, P. W. M., Lam, F. K. (1993). New interpolative vector quantization of images. IEEE Work. Proc. on Visual Sig. Proc. and Comm. 121–124.Google Scholar
Copyright information
© Springer Science+Business Media, LLC 2009