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One of the main challenges of histological image analysis is the high dimensionality of the images. This can be addressed via summarizing techniques or feature engineering. However, such approaches can limit the performance of subsequent machine learning models, particularly when dealing with highly heterogeneous tissue samples. One possible alternative is to employ unsupervised learning to determine...
Conventional light field displays suffer from the problem that severe distortion is perceived when the scenes are reconstructed far from the focused screen, due to the angular information loss in the reconstruction process. We introduce a weighted average optimization to the image synthesis process, aiming to tradeoff the reconstructed depth range and the image sharpness without changing the hardware...
Underwater video systems have assumed an increasingly important role in exploration and survey of the unknown deep ocean environments. This paper presents a real-time underwater video compression system that can be mounted on autonomous underwater vehicles (AUVs) for underwater survey applications. The hardware system is based on the digital media processor TMS320DM642 (DM642) of Texas Instruments,...
This paper presents an efficient underwater video-coding algorithm suitable for the purpose of underwater acoustic channel transmission. The algorithm mainly consists of three modules, namely preprocessing of underwater images, global motion estimation, and hybrid global-local motion compensation. A wavelet transform based preprocessing approach is employed to effectively reduce the visual redundancy...
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