Concept
Quantization (image processing)
Related publications (79)
High-resolution monitoring of bedload transport rates: a benchmark of two approaches (accelerometers and image processing).
Blaise Etienne Marceau Dhont, Gauthier Paul Daniel Marie Rousseau
Experimental and field studies have shown how intermittent bedload transport can be at low flow rates. The development and validation of bedload-transport equations require high-resolution records over long periods of time. Two technologies are considered ...
2016A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images
Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Alberto Crivellaro, Yannick Verdie, Mahdi Rad
We present a method that estimates in real-time and under challenging conditions the 3D pose of a known object. Our method relies only on grayscale images since depth cameras fail on metallic objects; it can handle poorly textured objects, and cluttered, c ...
2015Optimizing Multiview Video plus Depth Prediction Structures for Interactive Multiview Video Streaming
Pascal Frossard, Ana Karina De Abreu Goes
Several multiview video coding standards have been developed to efficiently compress images from different camera views capturing the same scene by exploiting the spatial, the temporal and the interview correlations. However, the compressed texture and dep ...
Ieee-Inst Electrical Electronics Engineers Inc2015A consensus algorithm for networks with process noise and quantization error
Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego
In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval ...
IEEE2015Quantization Design for Unconstrained Distributed Optimization
Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger
We consider an unconstrained distributed optimization problem and assume that the bit rate of the communication in the network is limited. We propose a distributed optimization algorithm with an iteratively refining quantization design, which bounds the qu ...
2015Quantization Design for Distributed Optimization
Colin Neil Jones, Ye Pu, Melanie Nicole Zeilinger
We consider the problem of solving a distributed optimization problem using a distributed computing platform, where the communication in the network is limited: each node can only communicate with its neighbours and the channel has a limited data-rate. A c ...
2015Image Transmorphing with JPEG
Picture-related applications are extremely popular because pictures present attractive and vivid information. Nowadays, people record everyday life, communicate with each other, and enjoy entertainment using various interesting imaging applications. In man ...
2015Color Imaging and Pattern Hiding on a Metallic Substrate
We present a new approach for the reproduction of color images on a metallic substrate that look bright and colorful under specular reflection observation conditions and also look good under non-specular reflection observation conditions. We fit amounts of ...
2015Color Imaging and Pattern Hiding on a Metallic Substrate
We present a new approach for the reproduction of color images on a metallic substrate that look bright and colorful under specular reflection observation conditions and also look good under non-specular reflection observation conditions. We fit amounts of ...
2015Density Evolution for Min-Sum Decoding of LDPC Codes Under Unreliable Message Storage
Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming
We analyze the performance of quantized min-sum decoding of low-density parity-check codes under unreliable message storage. To this end, we introduce a simple bit-level error model and show that decoder symmetry is preserved under this model. Subsequently ...
Institute of Electrical and Electronics Engineers2014