Title :
A comparison of the Hartley, Cas-Cas, Fourier, and discrete cosine transforms for image coding
Author :
Perkins, Michael G.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
6/1/1988 12:00:00 AM
Abstract :
The coding method used for the comparison utilizes a marginal bit-allocation scheme and Lloyd-Max quantizer. Gamma, Laplacian, and Gaussian models are compared for the distribution of the transform coefficients. The discrete cosine transform outperforms the other three transforms based on the mean-square quantization error
Keywords :
Fourier transforms; Laplace transforms; encoding; errors; picture processing; Cas-Cas transforms; Fourier transforms; Gamma models; Gaussian models; Hartley transforms; Laplace models; Lloyd-Max quantizer; coding method; discrete cosine transforms; image coding; marginal bit-allocation scheme; mean-square quantisation error; transform coefficients; Content addressable storage; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Fourier transforms; Image coding; Kernel; Laplace equations; Pixel; Transform coding;
Journal_Title :
Communications, IEEE Transactions on
