基于图像分析的数码相机对焦技术研究

Study on Auto-Focusing Technique in Digital Still Camera Based on Image Analysis

由于数码相机飞速发展和普及,而自动对焦技术是提高成像清晰度的重要手段,故越来越受到重视 本文研究了基于图像分析的对焦技术 针对单区域图像清晰度评价函数的不足,给出了一个五区域图像清晰度评价模型,并引入神经网络模型来实现该模型中权重的优化 目前,该模型已在相关产品中得到应用 实践表明。

Nowadays digital still camera has progressed quickly. As an important method to improve the resolution of the image captured by digital still camera, autofocusing technique is attracting more and more attention A focusing technique based on image analysis is discussed. A fivefield focusing technique is proposed to remedy the onefield focusing technique in the existing digital still cameras. Neural network is used to optimize the weights of these five fields The model has been applied to relevant products. The experiments show that the model gives accurate results and can work steadily