Index-compressed residual adaptive vector quantization

Jamshid Shanbehzadeh; Philip O. Ogunbona; Abdolhosain Sarafzadeh; Sayyad Najafi

doi:10.1117/12.316434

6 July 1998 Index-compressed residual adaptive vector quantization

Jamshid Shanbehzadeh, Philip O. Ogunbona, Abdolhosain Sarafzadeh, Sayyad Najafi

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316434
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper introduces a new scheme for still image compression based on Vector Quantization (VQ). The new scheme first vector quantized the image, then the indices obtained from quantization are compressed and transmitted. The indices are used as a classifier to identify the active areas of the image. The residual of active areas are vector quantized in the second step and the indices generated are transmitted. The advantage of new scheme is to present the active areas of the coded image accurately without overhead requirement. This scheme shows better subjective and objective in comparison with similar VQ schemes.

Citation Download Citation

Jamshid Shanbehzadeh, Philip O. Ogunbona, Abdolhosain Sarafzadeh, and Sayyad Najafi "Index-compressed residual adaptive vector quantization", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316434

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