图像处理比较快的oa开源sci期刊

分类：SCI相关知识 时间：2023-12-11 17:31 关注：(1)

　　图像处理比较快的oa开源sci期刊有哪些呢？oa期刊指的是开放获取的经营模式类刊物，读者可以免费获取资料。oa期刊的经营模式可以提高论文的知名度以及阅读量，所以越来越多的作者选择开源期刊，接下来，详细的推荐几本图像处理类开源期刊，仅供参考。

　　1、IET Image Processing

　　是否OA：是

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：4区

　　期刊简介：The IET Image Processing journal encompasses research areas related to the generation, processing and communication of visual information. The focus of the journal is the coverage of the latest research results in image and video processing, including image generation and display, enhancement and restoration, segmentation, colour and texture analysis, coding and communication, implementations and architectures as well as innovative applications.

　　Principal topics include:

　　Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality.

　　IET 图像处理期刊涵盖与视觉信息的生成、处理和通信相关的研究领域。该期刊的重点是报道图像和视频处理领域的最新研究成果，包括图像生成和显示、增强和恢复、分割、颜色和纹理分析、编码和通信、实现和架构以及创新应用。主要主题包括：生成和显示——成像传感器和采集系统、照明、采样和扫描、量化、色彩再现、图像渲染、显示和打印系统、图像质量评估。

　　2、Complex & Intelligent Systems

　　是否OA：是

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：2区

　　期刊简介：Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.

　　复杂与智能系统旨在提供一个论坛，展示和讨论新方法、工具和技术，以实现复杂系统、计算模拟、智能分析和可视化等广泛领域之间的交叉融合。该杂志关注的跨学科研究将通过调查当今社会面临的许多最深刻问题的原理和过程来扩大我们的理解范围。

　　3、Frontiers in Neurorobotics

　　是否OA：是

　　学科领域：

　　大类：计算机科学

　　小类：计算机：人工智能

　　中科院分区：3区

　　期刊简介：Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.

　　《神经机器人学前沿》发表了有关具体自主神经系统科学和技术的严格同行评审研究。慕尼黑工业大学的专业主编 Alois C. Knoll 和 Florian Röhrbein 得到了由国际专家组成的杰出编辑委员会的支持。这本多学科的开放获取期刊处于向全球研究人员、学者和公众传播和交流科学知识和有影响力的发现的前沿。