A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

This paper presents efficient low-power compact hardware designs for common image processing functions including the median filter, smoothing filter, motion blurring, emboss filter, sharpening, Sobel, Roberts, and Canny edge detection. The designs were described in Verilog HDL. Xilinx ISE design suite was used for code simulation, synthesis, implementation, and chip programming. The designs were all evaluated in terms of speed, area (number of LUTs and registers), and power consumption. Post placement and routing (Post-PAR) results show that they need very small area and consume very little power while achieving good frame per second rate even for HDTV high resolution frames. This makes them suitable for real-time applications with stringent area and power budgets.

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A Novel Approach to Lossy Real-Time Image Compression: Hierarchical Data Reorganization on a Low-Cost Massively Parallel System

Real-Time Imaging ◽

10.1006/rtim.1995.1034 ◽

1995 ◽

Vol 1 (5) ◽

pp. 339-353 ◽

Cited By ~ 2

Author(s):

Alberto Broggi

Keyword(s):

Image Compression ◽

Real Time ◽

Low Cost ◽

Parallel System ◽

Massively Parallel ◽

Hierarchical Data ◽

Data Reorganization ◽

Novel Approach ◽

Real Time Image ◽

Time Image

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Augmented Reality Experience: From High-Resolution Acquisition to Real Time Augmented Contents

Advances in Multimedia ◽

10.1155/2014/597476 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 19

Author(s):

Paolo Clini ◽

Emanuele Frontoni ◽

Ramona Quattrini ◽

Roberto Pierdicca

Keyword(s):

High Resolution ◽

Augmented Reality ◽

Real Time ◽

Low Cost ◽

Cultural Institutions ◽

Mobile Software ◽

Real Time Image ◽

Real Scenario ◽

Social Applications ◽

Time Image

This paper presents results of a research project “dUcale” that experiments ICT solutions for the museum of Palazzo Ducale (Urbino). In this project, the famed painting the “Città Ideale” becomes a case to exemplify a specific approach to the digital mediation of cultural heritage. An augmented reality (AR) mobile application, able to enhance the museum visit experience, is presented. The computing technologies involved in the project (websites, desktop and social applications, mobile software, and AR) constitute a persuasive environment for the artwork knowledge. The overall goal of our research is to provide to cultural institutions best practices efficiently on low budgets. Therefore, we present a low cost method for high-resolution acquisition of paintings; the image is used as a base in AR approach. The proposed methodology consists of an improved SIFT extractor for real time image. The other novelty of this work is the multipoint probabilistic layer. Experimental results demonstrated the robustness of the proposed approach with extensive use of the AR application in front of the “Città Ideale” painting. To prove the usability of the application and to ensure a good user experience, we also carried out several users tests in the real scenario.

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