한국정보통신학회:학술대회논문집 (Proceedings of the Korean Institute of Information and Commucation Sciences Conference)
- 한국해양정보통신학회 2001년도 추계종합학술대회
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- Pages.571-574
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- 2001
영상압축을 위한 코넨네트워크
KOHONEN NETWORK FOR ADAPTIVE IMAGE COMPRESSION
초록
본 논문에서는 코호넨 네트워크를 이용한 효과적인 적응 코딩 방법을 제안한다. 신경망을 응용한 압축법 분석을 통해 설명되는 코딩방법은 압축률을 높이기 위해서 우선 영상을 8
In our paper, We propose an efficient adaptive coding method using kohonen neural network. An efficient adaptive encoding method using Kohonen net work is discribed through the analysis of those compression methods with the application of the neural network. In order to increase the compression ratio, a image is first divided into 8*8 subimages, then all subimages are transformed by DCT. These DCT sub-blocks are divided into N(4) classes by Kohonen network. Hits are distributed according to the variance of the DCT sub-block. Thus we get N(4)bit allocation matrices. Excellent performance is shown by the computer simulation. so we found that our proposed method is better then classifing subimages by AC energy.