The digital color imaging technology deals with the theories and technologies of capture, enhancement processing, output imaging of optical color images (radiation image). It is a highly interdisciplinary area involving elements of physics, visual science, chemistry, psychophysics, computational algorithms, systems engineering, and mathematical optimization. Digital color imaging mainly researches on the theories, methods, technologies and systems of digital color imaging, including the color visual perception, machine vision, light source and theory of Light Transmission, the acquiring, storing, transmitting, processing, displaying, outputting and reproducing of color information in digital imaging, the key techniques of design and development for digital imaging systems, and the performance detection and analysis method for digital imaging systems and devices.
Research directions in digital color imaging technology in our department are summarized into four aspects.
(1) Imaging by printing (ink-jet printing and laser printing). We analyze the imaging principle by printing, and study the technologies related to the data input, data processing, device driving and output quality assessment in the imaging process. More specifically, we establish the imaging models to eliminate the nonlinear distortions during the imaging process, design different digital half-toning methods to satisfy the requirements for various printing imaging devices (including inkjet plate-making, inkjet printing, laser printing, digital printing, etc.), and study the image color management (driving and algorithms and system, etc. )to control the imaging colors.
(2) Intelligent image processing and information detection. In the context of fast developing mobile and intelligent terminal, we investigate the acquisition, extraction, recognition and analysis of image information. Guided by the theories and methods of machine learning and deep learning and computer vision, we mainly focus on the detection, recognition, semantic analysis and classification of texts and images.
(3) Integral imaging system (stereoscopic imaging etc.). We mainly focus on the integral imaging methods and systems in the new field of stereoscopic imaging technology, including researches on stereoscopic imaging principles and methods, imaging resolution enhancement, digital display conversion between 2-D and 3-D, a few among others.
(4) Imaging quality detection and analysis. We study the imaging quality detection and analysis methods for the photoelectric imaging systems of different devices, such as digital camera, digital printing press, scanners and printers. Specifically, we study the principles and algorithms of various imaging quality parameters, analyze and construct the imaging quality assessment systems for different devices, and design the imaging quality detection and measuring instrument, to effectively measure and control the imaging quality for imaging devices.