科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
8期
149-151
,共3页
高光谱图像%图像压缩%小波分解%矢量量化
高光譜圖像%圖像壓縮%小波分解%矢量量化
고광보도상%도상압축%소파분해%시량양화
hyperspectral image%image compression%wavelet transform%vector quantization
传统的基于二维小波变换的图像压缩方法在对高光谱图像细节部分进行量化编码时对低频部分进行全域矢量分解，噪点处理不够平滑，处理结果不好。提出一种改进的基于小波域子矢量的光谱图像压缩处理算法，对小波域的子矢量细节部分采用误差补偿编码的方法对高光谱图像的噪点进行平滑处理，对N级码书进行两级小波变换提取低频系数，通过算术编码实现城市、植被、水流多源信息高光谱图像压缩和解码恢复识别结果。仿真结果表明，采用该算法进行光谱图像压缩，图像经压缩处理后的恢复质量品质较高，峰值信噪比提高明显。
傳統的基于二維小波變換的圖像壓縮方法在對高光譜圖像細節部分進行量化編碼時對低頻部分進行全域矢量分解，譟點處理不夠平滑，處理結果不好。提齣一種改進的基于小波域子矢量的光譜圖像壓縮處理算法，對小波域的子矢量細節部分採用誤差補償編碼的方法對高光譜圖像的譟點進行平滑處理，對N級碼書進行兩級小波變換提取低頻繫數，通過算術編碼實現城市、植被、水流多源信息高光譜圖像壓縮和解碼恢複識彆結果。倣真結果錶明，採用該算法進行光譜圖像壓縮，圖像經壓縮處理後的恢複質量品質較高，峰值信譟比提高明顯。
전통적기우이유소파변환적도상압축방법재대고광보도상세절부분진행양화편마시대저빈부분진행전역시량분해，조점처리불구평활，처리결과불호。제출일충개진적기우소파역자시량적광보도상압축처리산법，대소파역적자시량세절부분채용오차보상편마적방법대고광보도상적조점진행평활처리，대N급마서진행량급소파변환제취저빈계수，통과산술편마실현성시、식피、수류다원신식고광보도상압축화해마회복식별결과。방진결과표명，채용해산법진행광보도상압축，도상경압축처리후적회복질량품질교고，봉치신조비제고명현。
Traditional image compression method based on two dimensional wavelet transform cannot get the good image processing result. An improved compression algorithm is proposed in wavelet domain based on sub vector quantization, and an improved LBG vector quantization method is used as the image pre-processing. Point to line model is designed. The low-frequency coefficients are extracted. The hyperspectral images of City, Plant and Water are taken for the image com-pressing and recognition simulation with arithmetic coding. Simulation results show that the new method has better quality of image processing, the peak signal to noise ratio of image is improved significantly.
