量化器在图象压缩系统中占有非常重要的地位.量化器结构与参数直接影响到恢复图象的质量和压缩比.在研制的三维超光谱图象压缩系统中,针对三维超光谱图象自身和应用的特点,设计出了一维反正切型映射量化器和二维具有图象边缘特征保持特性的量化器.实验结果表明,量化器的映射量化误差较小,并充分保持了在超光谱图象应用中较为重要的图象边缘特征.

Quantization plays special important roles in image compression system,and its structure and parameters directly influence the quality of reconstructed image and the compression ratio.In our study of Compression System of 3D hyperspectral images,we have disigned two quantization:one as of 1-D arctangnet mapping quantization,the other as of 2-D image edge retaining quantization.The experiment results showed that mapping quantizing error in mapping quantization was low and could better retain the edge feature in hyperspectral image.