Research On The Key Technique Of HD Video De-interlace Processing System

As the rapidly growth and combination of computer science, communicating and VLSI technology, TV industry is experiencing the thorough change from analog TV broadcasting system to DTV system. The research and development of digital video image post-processing IC and algorithm, which is the kernel of DTV system, became the main competition field of the huge future market. The most important function of high definition (HD) TV post-processing is the de-interlace processing of interlaced signal. Because the high performance and low cost of HD video can't be acquired by current de-interlacing method, this dissertation mainly focuses on the deeply research of de-interlacing key technique for HDTV application.This thesis is an expansion of the project"Research and Development of Video Signal Processing Chip"which is supported by Tianjin key technologies R&D Program and the product development is cooperated with PowerLayer Microsystems (Beijing) Ltd. This dissertation introduces HD video de-interlace processing system with film mode processing and image pre-denoising. The creative points of this dissertation are three key techniques, included: de-interlacing interpolation, film mode processing and image pre-denoising.A novel HD video image de-interlacing interpolation technique which is based on global statistic processing and edge smooth filtering is proposed. In this technique, the exactly motion information is calculated by motion detection with global statistic. The relativity directional filtering with edge smooth is adopted by intra-field interpolation. The compute complexity of this HD video adaptive technique is advisable and the high quality results are achieved from both of motive and stationary object.New technique of film mode processing for all film cadences is proposed. The pixel level frame/field difference statistic is used by film mode detection based on gaussian classifier. The design of cooperation with software calculation and hardware operation saves the hardware resource and provides the update ability of the unknown cadences. As the result, all the existing film cadences and Video-on-Film (VoF) cases are correctly detected and processed.An interlaced signal adaptive pre-denoising technique is proposed. In this technique, the noise probability statistical characteristic is acquired and analyzed in terms of the data structure of interlaced image. The pixel is selective processed by intra-field filtering and inter-field filtering. This adaptive processing effectively reduced the Gaussian noise and Salt-Pepper noise and improved the video image quality.At last this dissertation provides the VLSI architecture of HD video de-interlace processing system and hardware design of functional module and interfaces. The simulation reports show that the HD video timing requirement is satisfied and hardware resource usage of the whole system is reasonable. This system is suitable for real-time application of HDTV post-processing IC.