[HTML][HTML] Accuracy analysis of lossless and lossy disparity map compression
S Merrouche, B Bondžulić, M Andrić… - Ain Shams Engineering …, 2022 - Elsevier
In this paper, we analysed lossless and lossy compression of disparity (depth) images with
low range resolution. For that goal, the well-known publicly available Middlebury dataset is …
low range resolution. For that goal, the well-known publicly available Middlebury dataset is …
Shared Context-Based Compression Paradigm for Ubiquitous Local Transmissions
L Li, J Yang, Y Mao - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Data compression is extremely important for all kinds of networking applications, but most
existing compression algorithms are only based on utilizing the redundancy characteristics …
existing compression algorithms are only based on utilizing the redundancy characteristics …
Information Theoretic Modeling of High Precision Disparity Data for Lossy Compression and Object Segmentation
In this paper, we study the geometry data associated with disparity map or depth map
images in order to extract easy to compress polynomial surface models at different bitrates …
images in order to extract easy to compress polynomial surface models at different bitrates …
Information Theoretic Modeling of High Precision Disparity Data for Lossy Compression and Object Segmentation
In this paper, we study the geometry data associated with disparity map or depth map
images in order to extract easy to compress polynomial surface models at different bitrates …
images in order to extract easy to compress polynomial surface models at different bitrates …