Signal Processing: Image Communication is a premier journal dedicated to the rapid dissemination of high-quality research in the field of image and video processing. This journal focuses on fundamental and applied aspects of signal processing, particularly as they relate to the creation, manipulation, storage, transmission, and understanding of visual information. It welcomes original contributions covering a wide array of topics, including image and video coding, compression techniques, image enhancement and restoration, and advanced image analysis methods. The journal provides a platform for researchers and practitioners to exchange ideas, fostering innovation and progress in visual signal processing.
Key areas covered by the journal include video coding standards, perceptual coding techniques, motion estimation and compensation, and the application of artificial intelligence in image processing. It is indexed in leading databases, such as Scopus and Web of Science, ensuring widespread visibility and impact. The journal serves as an essential resource for researchers, engineers, and students involved in signal processing, computer vision, and communication engineering. The target audience includes academic researchers, industry professionals, and graduate students focusing on image and video technologies.
Signal Processing: Image Communication emphasizes practical applications and real-world implementations of image and video processing algorithms. The journal encourages submissions that address emerging challenges and explore new frontiers in visual communication, such as 3D imaging, virtual reality, and augmented reality. Consider submitting your research to contribute to the advancement of image and video processing technologies.