基于数码相机的图象数字变焦(视图插补)算法

Image Digital Zoom(View Interpolation) Algorithm with Digital Still Camera

相邻象素之间的相关是图象数字变焦 (视频插补 )、图象平滑及滤波处理的理论基础 .为此以图象的相关系数为量化参数 ,讨论了象素的空间和灰度相关性 ;定义了象素的空间距离和灰度距离 ,并在此基础上构造了基于空间相关和灰度相关的邻域变焦 (插值 )算子 ,给出了该算子的离散算法、软件实现和仿真 .仿真结果表明 :该算法最大限度地减小了图象的几何失真和色彩失真 ,可满足数码相机数字变焦的视觉要求 .本算法已应用于 i.

As the most important technology bass of information industry, digital image proceesing technology has been entering into a brilliant developing era in theory and application under the drive of internet and media application. A varity of algorithms and products have come forth, growing or disappearing out of competition in marketing. Image digital zoom(view interpolation) is one of the most important image procesing technology for digital still camera, which is used to improve the vision resolution and to satisfy demands out of some special processing algorithms. The correlativity theory is the base of image digital zoom(view interpolation)?smoothing and filtering. The spatial and gray correlativity between pixels are studied in the respect of the correlative coefficent, and the spatial distance and gray distance are defined. Based on these results, the digital zoom(view interpolation) and its discrete algorithm are constructed. The emulation result shows that the algorithm is available and efficient in digital still camera zoom function for its least distortion in color and geometry. The discrete algorithm has been used in I.Photo serial digital still camera.