CAJ | 학술논문

基于四叉树的数字图像压缩算法是一种利用四叉树结构对图像中平滑区域进行压缩编码的技术。而现有的压缩算法由于存在诸多缺陷，使得其效果很难与诸如Jpeg2000的主流压缩算法相比拟。论文基于现有的四叉树分割算法，提出了一种高效的编码方式来记录四叉树的结构信息，同时引入了泰森多边形方法和自然邻点插值法来解决四叉树重构时的平滑问题。实验结果表明，该算法在尽可能小的失真前提下，最大限度地保留了图像的细节信息，且具有较高的压缩比，其整体效果可以与Jpeg2000比拟。
기우사차수적수자도상압축산법시일충이용사차수결구대도상중평활구역진행압축편마적기술。이현유적압축산법유우존재제다결함，사득기효과흔난여제여Jpeg2000적주류압축산법상비의。논문기우현유적사차수분할산법，제출료일충고효적편마방식래기록사차수적결구신식，동시인입료태삼다변형방법화자연린점삽치법래해결사차수중구시적평활문제。실험결과표명，해산법재진가능소적실진전제하，최대한도지보류료도상적세절신식，차구유교고적압축비，기정체효과가이여Jpeg2000비의。
Quadtree‐based image compression technique is a typical method w hich aims to exploit the redundancy in an image such that the smaller number of bits can be used to represent the image while remaining detail information .However , most of existing approaches to this problem do not work well due to its own limitations .Here a new approach to code quad‐tree decomposed Image with a novel codebook and then be reconstructed by voronoi interpolation is described that provides a"satisfying"visual quality comparing with Jpeg2000 .