Sundsbø I, Ramstad T A
IEEE Trans Image Process. 1998;7(12):1717-24. doi: 10.1109/83.730383.
Different algorithms are evaluated and optimizations are performed to obtain a filterbank for subband coding of images especially suited for very large scale integration (VLSI) implementation. Based on a filterbank consisting of two finite impulse response (FIR) filters combined with an 8-point discrete cosine transform (DCT), we investigate how the quantization of filter coefficients and twiddle factors in different algorithms affects the quality of the filterbank. It is found that a DCT based on a Stasinksi (1989) algorithm with twiddle factors of only 5 b together with FIR filter coefficients of 10 b gives a filterbank with high coding gain, no blocking artifacts, and limited ringing. The VLSI complexity is comparable to that of DCT transforms.
我们评估了不同算法并进行了优化,以获得一个用于图像子带编码的滤波器组,该滤波器组特别适合超大规模集成(VLSI)实现。基于由两个有限脉冲响应(FIR)滤波器与一个8点离散余弦变换(DCT)组成的滤波器组,我们研究了不同算法中滤波器系数和旋转因子的量化如何影响滤波器组的质量。结果发现,基于Stasinksi(1989)算法的DCT,其旋转因子仅为5比特,FIR滤波器系数为10比特,可得到一个具有高编码增益、无块状伪影且振铃有限的滤波器组。其VLSI复杂度与DCT变换相当。