Company News

Rate-Complexity Scalable Multi-view Image Coding with Adaptive Disparity-Compensated Wavelet Lifting

Pongsak Lasang, Chang-su Kim, and Wuttipong Kumwilaisak
Journal of Information and Computing Science, vol. 4, no. 3, August 2009, pp. 211-223

In this paper, a simple and effective motion blur removal method based on long and short exposure images is presented. The long and short exposure images are captured sequentially. Motion pixels between the images are robustly detected, with suppressing noise and preventing artifacts around object boundary. The object motion blur is removed and high quality image is obtained by merging the two images with takes into account the detected motion pixels. The proposed method is directly performed on the CFA (Color Filter Array) image which is only one color component per pixel. It has low computational complexity and memory requirements. The proposed method can achieve HDR (High Dynamic Range) image at the same time.

Link: https://www.semanticscholar.org/paper/Rate-Complexity-Scalable-Multi-view-Image-Coding-Lasang-Kim/9dfbdcc7845c285e33f8f5c2f4c94c932f3899e8

Back

Share

ISDN Holdings’ NovaPeak partners with Panasonic HD to Scale LiveInspect.AI globally

LiveInspect.AI Development Team lead by Dr. Takeshi Ando Managing Director of Panasonic R&D Center Singapore (front right) and Mr. Eugene…

Panasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset

Panasonic R&D Center Singapore achieved the Best Accuracy of Face Recognition on the IJB-C dataset under three different protocols, namely 1:1 mixed verification, 1:N mixed identification and 1:1 covariate verification.

Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017

In collaboration with the Institute for Infocomm Research (I2R), Panasonic R&D Center Singapore achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.

Panasonic wins the top spot in a Future Convenience Store Challenge at IREX2019, an International Robot Exhibition 2019

Panasonic R&D Center Singapore (PRDCSG) joined the Nara Institute of Science and Technology, Ritsumeikan University, Panasonic’s Robotics Promotion Office, LS,…