Center for Image Process. Res., Rensselaer Polytech. Inst., Troy, NY.
IEEE Trans Image Process. 1996;5(1):150-5. doi: 10.1109/83.481680.
A new image-coding algorithm that exploits the relationship between various subbands of an image is presented in this correspondence. Using local variance for state selection and uniform threshold quantizers on subbands, we have achieved a reduction in quantization noise compared to other published techniques for Lena at various bit rates.
本文提出了一种新的图像编码算法，该算法利用了图像各个子带之间的关系。通过对子带进行局部方差的状态选择和均匀阈值量化器，与其他在不同比特率下对 Lena 图像的发表技术相比，我们实现了量化噪声的降低。
