Professor Hong Ren Wu

• Experiential Media Signal Processing on Null Convention Logic. Funded by: ARC Linkage Project 2011 Round 1 from (2011 to 2014)
• Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. Funded by: ARC Discovery 2009 from (2009 to 2013)
• Adaptation of Vision Model to Perceptual Digital Picture Compression. Funded by: ARC Discovery 2006 from (2006 to 2008)
• Multimedia Computing, Production, Management and Distribution for HDTV and its Applications. Funded by: ARC LIEF via other University from (2006 to 2006)

Digital signal processing (DSP) and fast algorithms; image processing; quality assessment and metrics for digital images and video sequences; perceptual coding and compression of digital pictures multimedia signal processing and communications DSP industrial applications and fast digital signal processors; hardware and systems. Digital picture (video/image) coding and compression; Digital picture quality assessment and metrics; Analysis, processing and enhancement of video images; Embedded DSP systems and their industrial applications; and Fast DSP algorithms.

• Wan, W.,Huang, D.,Shang, B.,Wei, S.,Wu, H.,Wu, J.,Shi, G. (2022). Depth Perception Assessment of 3D Videos Based on Stereoscopic and Spatial Orientation Structural Features In: IEEE Transactions on Circuits and Systems for Video Technology, 33, 4588 - 4602
• Wan, W.,Wu, H.,Wu, J.,Shi, G. (2021). Stereoscopic 3D Depth Perception Analysis of H.264/AVC Coded Video In: VR/AR and 3D Displays, Springer Nature, Singapore
• Gao, W.,Wang, L.,Coffey, J.,Wu, H.,Daver, F. (2021). Finite element modelling and experimental validation of scratches on textured polymer surfaces In: Polymers, 13, 1 - 17
• Gong, Y.,Yang, K.,Liu, Y.,Lim, K.,Ling, N.,Wu, H. (2021). Quantization Parameter Cascading for Surveillance Video Coding Considering All Inter Reference Frames In: IEEE Transactions on Image Processing, 30, 5692 - 5707
• Fayek, H.,Cavedon, L.,Wu, H. (2020). Progressive learning: A deep learning framework for continual learning In: Neural Networks, 128, 345 - 357
• Mohseni, S.,Wu, H.,Thom, J.,Bab-Hadiashar, A. (2020). Recognizing induced emotions with only one feature: A novel color histogram-based system In: IEEE Access, 8, 37173 - 37190
• Gao, W.,Wang, L.,Coffey, J.,Wu, H.,Daver, F. (2020). An attempt to simulate structure and realistic images of scratches on rough polymeric surfaces In: Journal of Polymer Science Part B Polymer Physics, 58, 1 - 10
• Yang, K.,Gong, Y.,Ma, M.,Wu, H. (2019). An Efficient Rate-Distortion Optimization Method for Low-Delay Configuration in H.265/HEVC Based on Temporal Layer Rate and Distortion Dependence In: IEEE Transactions on Circuits and Systems for Video Technology, 29, 1230 - 1236
• Shi, G.,Wan, W.,Wu, J.,Xie, X.,Dong, W.,Wu, H. (2019). SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment In: Neurocomputing, , 1 - 15
• Mohseni, S.,Wu, H. (2019). A Color Moments-Based System for Recognition of Emotions Induced by Color Images In: International Conference on Image and Vision Computing New Zealand (IVCNZ) 2019, Dunedin, New Zealand, 2-4 December, 2019