CAJ | 학술논문

为提高不可靠网络条件下传输图像的重建质量，提出一种结合遗传算法和小波变换的多描述图像编码方法。利用离散小波变换（DWT）将源图像分解为4个重要性不同的子带，通过自适应遗传算法优化的量化步长对子带系数进行均匀量化，增大引入相关后各个图像描述中的低频信息比重。3组测试图像的仿真分析结果表明，在丢失2或3数据包时，相校基于固定步长的MDTC． DWT／UQ方法，该方法具有更好的鲁棒性，用假设检验的方法进一步验证了该方法的有效性。
위제고불가고망락조건하전수도상적중건질량，제출일충결합유전산법화소파변환적다묘술도상편마방법。이용리산소파변환（DWT）장원도상분해위4개중요성불동적자대，통과자괄응유전산법우화적양화보장대자대계수진행균균양화，증대인입상관후각개도상묘술중적저빈신식비중。3조측시도상적방진분석결과표명，재주실2혹3수거포시，상교기우고정보장적MDTC． DWT／UQ방법，해방법구유경호적로봉성，용가설검험적방법진일보험증료해방법적유효성。
To improve the quality of reconstructed image under unreliable network condition,a multiple description transform coding for image that combined the genetic algorithm and wavelet transform was presented.Discrete wavelet transform (DWT) converted a still image into four descriptions in which essentialities were different.Subband was uniformly quantified using adap-tive genetic algorithms (GA)so that the low frequency information of image was protected.Experimental results show when compressing to the target bit rate,compared with traditional uniform quantization with a fixed step size,the proposed method has more improvements both in the obj ective evaluation of PSNR and subj ective visual effect in case of packet lose.