CAJ | 학술논문

随着互联网的发展和图像应用范围的不断扩大,对图像的处理提出了新的要求,即不但识别图像要准确无误,还要在处理的时间上达到实时的效果.本系统运用离散整数小波变换技术,结合高性能数字信号处理器DSP和大规模现场可编程门阵列（FPGA）,实现提升方法的整数小波变换和关于Mallat算法的小波变换,并在图像的处理方面取得了较好试验效果.
수착호련망적발전화도상응용범위적불단확대,대도상적처리제출료신적요구,즉불단식별도상요준학무오,환요재처리적시간상체도실시적효과.본계통운용리산정수소파변환기술,결합고성능수자신호처리기DSP화대규모현장가편정문진렬（FPGA）,실현제승방법적정수소파변환화관우Mallat산법적소파변환,병재도상적처리방면취득료교호시험효과.
With the extensive application of the Internet and image,some new requirements in processing,such as accurate image recognition and real-time processing,are to be well performed by Transformation. So the system takes the high-performance digital signal processor DSP and the large-scale image wavelet field - programmable gate arrays （FPGA） as the key,and combines discrete wavelet transform. The integral wavelet transform and wavelet transform algorithm Mallat are realized on hardware system. Finally, the experimental results are satisfying.