A comparative study of DCT- and wavelet-based image coding Academic Article

abstract

• We undertake a study of the performance difference of the discrete cosine transform (DCT) and the wavelet transform for both image and video coding, while comparing other aspects of the coding system on an equal footing based on the state-of-the-art coding techniques. Our studies reveal that, for still images, the wavelet transform outperforms the DCT typically by the order of about 1 dB in peak signal-to-noise ratio. For video coding, the advantage of wavelet schemes is less obvious. We believe that the image and video compression algorithm should be addressed from the overall system viewpoint: quantization, entropy coding, and the complex interplay among elements of the coding system are more important than spending all the efforts on optimizing the transform. 1999 IEEE.

authors

• Xiong, Zixiang

published proceedings

• IEEE Transactions on Circuits and Systems for Video Technology

altmetric score

• 3

author list (cited authors)

• Xiong, Z., Ramchandran, K., Orchard, M. T., & Zhang, Y.

citation count

• 153

complete list of authors

• Xiong, Zixiang||Ramchandran, K||Orchard, MT||Zhang, Ya-Qin

publication date

• August 1999

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Circuits and Systems for Video Technology  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 4008 Electrical Engineering
• 46 Information And Computing Sciences
• 4603 Computer Vision And Multimedia Computation

Digital Object Identifier (DOI)

• 10.1109/76.780358

start page

• 692

end page

• 695

volume

• 9

issue

• 5

URL

• http://dx.doi.org/10.1109/76.780358