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웨이브렛 변환 영상에 대한 쿼드트리 기반 압축 방법

A Method of Quadtree-Based Compression for the Image by Wavelet Transform

  • 발행 : 2008.10.30

초록

다양한 정보 중에서 인간에게 가장 큰 영향을 미치는 영상 정보를 디지털 형태로 전송하기 위해서는 압축이 필수적이다. 최근 들어 영상 압축을 위해, 웨이브렛 변환된 영상에 여러 가지 부호화 알고리즘을 적용하는 것에 대해 많은 연구가 진행되고 있다. 본 논문에서는 웨이브렛 변환된 디지털 영상에 픽셀간의 상관도와 '0' 정보를 모아 효과적으로 압축할 수 있는 양자화 기법인 쿼드트리 기반 블록 양자화를 적용하여 영상을 압축하는 방법을 제안한다. 제안된 방법에 대하여, 실험영상으로 $256{\times}256$ 크기의 8[bit] 흑백 영상을 이용하고, DCT 압축기법과 비교하여 제안된 방법의 성능을 평가한다.

Images play the most important role in human perception. In order to send the image information by the digital type, the compression is essential. Recently, a lot of studies on encoding algorithms for image by wavelet transform are going on. In this paper, a quadtree-based method of image compression applied to the images decomposed by wavelet transform by using the correlations between pixels and '0' data grouping is proposed. For the proposed method, the experimental gray image with $256{\times}256$ size and 8[bit], is used. And, the performance of proposed method is evaluated to compare with DCT compression method.

키워드

참고문헌

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