Digital Image Processing Projects ECE Archives

Multichannel HRWS SAR Imaging Based on Range-Variant Channel Calibration and Multi-Doppler-Direction Restriction Ambiguity Suppression

Posted on January 27, 2016 by Matlab-Projects |

In order to obtain high-resolution wide-swath (HRWS) images, the multichannel in azimuth synthetic aperture radar (SAR) system has been adopted to deal with the contradiction problem between high resolution and low pulse repetition frequency (PRF). In this paper, a novel channel-calibration…

A combined object-based segmentation and support vector machines approach for classification of Tiangong-01 hyperspectral urban data

Posted on January 27, 2016 by Matlab-Projects |

Traditional hyperspectral classification methods based on per-pixel spectral or texture features fail to take account of spatial structure and spatial correlation characteristics. In order to overcome this problem, a mixed classification method is proposed which incorporates spatial information by fusion…

Region-based intra-frame rate-control scheme for High Efficiency Video Coding

Posted on January 27, 2016 by Matlab-Projects |

In High Efficiency Video Coding (HEVC), the coding efficiency of infra-frames is lower than inter-frames, which will cause the flicker artifact and perceptual fluctuation among CTUs in low bitrates applications. Therefore, this paper proposes a region-based intra-frame rate-control scheme to…

Adding a new dimension to global urban observations: Inventory of human settlements pattern and urban morphology using VHR SAR data of the TanDEM-X mission

Posted on January 27, 2016 by Matlab-Projects |

The German TanDEM-X mission has collected two global coverages of very high resolution synthetic aperture radar (SAR) X-band data with a spatial resolution of about three meters in the years 2011/2012 and 2012/2013. Such an extraordinary data set provides Earth…

Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations

Posted on January 27, 2016 by Matlab-Projects |

Building models are a valuable information source for urban studies and in particular for analyses of urban mass concentrations (UMCS). Most commonly, light detection and ranging (LiDAR) is used for their generation. The trade-off for the high geometric detail of…

Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing

Posted on January 27, 2016 by Matlab-Projects |

This paper presents a new image formation method for multi-polarization through-the-wall radar imaging. The proposed method combines wall clutter mitigation and scene reconstruction in a unified framework using multitask Bayesian compressed sensing. First, the radar signals are jointly recovered using Bayesian compressed sensing…

A LiDAR Study of Erosion and Sedimentation of Meandering Waterways

Posted on January 27, 2016 by Matlab-Projects |

Summary form only given. Meandering waterways experience significant erosion and sedimentation especially during floods when the flow quantity considerably increases. Rivers and streams with sharp bents are regularly exposed to damages along their path as the speeding water flow erodes…

Real time implementation of global motion estimation on binary images by ARM processor

Posted on January 27, 2016 by Matlab-Projects |

n this work, a global motion estimation method which operates on the binary images is implemented on a ARM based real time embedded platform for motion estimation stage which is the most computational part of a digital video stabilization system. Experiments show that after…

On improved spread spectrum watermark detection under compressive sampling

Posted on January 27, 2016 by Matlab-Projects |

This paper studies performance of correlation based energy detection (ED) and generalized likelihood ratio test (GLRT) to resolve binary hypothesis on spread spectrum (SS) watermark in digital imagesunder compressive sampling (CS) paradigm. Watermark information in the form of independent and identically distributed…

No-reference blur assessment in natural images using Fourier transform and spatial pyramids

Posted on January 27, 2016 by Matlab-Projects |

In this paper we propose a no-reference image blur assessment model that performs partial blur detection in the frequency domain. Specifically, our method exploits the information derived from the power spectrum of the Fourier transform. The latter is computed for both the…