Advances in super-resolution imaging have been made by reconstruction, interpolation and example-based algorithmic techniques drawn from the fields of signal and image processing, machine learning, biologically-inspired computer vision, and psychology. However, the performance o…
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Analysis of images at multiple scales is necessary because real-life images contain features of all sizes. It is better to remove the unnecessary detail and process the images at different scales of interest separately. Traditionally, linear filters have been used to smooth out …
This thesis deals with the development and evaluation of blind discrete cosine transform-based watermarking algorithms for copyright protection of digital still images using handwritten signatures and mobile phone numbers. The new algorithms take into account the perceptual capa…
The Sun is of fundamental importance to life on earth and is studied by scientists from many disciplines. It exhibits phenomena on a wide range of observable scales, timescales and wavelengths and due to technological developments there is a continuing increase in the rate at wh…
Due to obstruction in the national plan of urbanization in Tripoli (Libya) and population growth, serious problems have emerged in the form of random settlements, overcrowding and poor infrastructure. After more than two decades of inertia, the government has created a national …
This research introduces an image retrieval system which is, in different ways, inspired by the human vision system. The main problems with existing machine vision systems and image understanding are studied and identified, in order to design a system that relies on human image …
For this thesis, smart spraying robot was designed, constructed and tested to validate the concept of smart pest control. Electrostatic charging of sprayed pesticide was realized in a spray nozzle design that improved plant coverage and reduced wasted pesticide as well as soil p…
Unmanned aerial vehicles (UAV) have become an interesting and active research topic for photogrammetry. Current research is based on images acquired by an UAV, which have a high ground resolution and good spectral and radiometrical resolution, due to the low flight altitudes com…
The broadcast industry is moving future Digital Television towards Super high resolution TV (4k or 8k) and/or 3D TV. This ultimately will increase the demand on data rate and subsequently the demand for highly efficient codecs. One of the techniques that researchers found it one…
Magnetic Induction Tomography (MIT) is a contactless and non-invasive method for imaging the passive electrical properties of objects. An MIT system employs an array of excitation coils in order to induce eddy currents within an object and then uses detection coils to measure th…
Medical volume segmentation got the attraction of many researchers; therefore, many techniques have been implemented in terms of medical imaging including segmentations and other imaging processes. This research focuses on an implementation of segmentation system which uses seve…
Automatic recognition of human faces is an important and growing field. Several real-world applications have started to rely on the accuracy of computer-based face recognition systems for their own performance in terms of efficiency, safety and reliability. Many algorithms have …
Synthetic Aperture Radar (SAR) is an active, all-weather remote sensor that can operate during day or night and penetrates cloud cover. It can construct high resolution images of the ground from airborne or space borne platforms. This project develops automatic target classifica…
Gesture recognition enables a hands-free or device-free interaction with a computer thereby expands the range of possibilities for computer usage. Recognition of the gesture is difficult because of spatial variation and temporal variation among gesture performed by different sub…
Today's graphical processing units have hundreds of individual processing cores that can be used for general purpose computation of mathematical and scientific problems. Due to their hardware architecture, these devices are especially effective when solving problems that exhibit…
Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the ps…
During the last few years, digital filtering methods for image/video processing applications have reached a satisfactory level. However, their performance degrades in the presence of noise, trend, motion, shape deformation, intensity inhomogeneity, shadows, or low image quality,…
It is well-recognized that civil infrastructure monitoring approaches that rely on visual approaches will continue to be an important methodology for condition assessment of such systems. Part of this study presents and evaluates the underlying technical elements for the develop…
A statistically robust and computationally efficient scheme for surface perception is developed. The algorithms are tested and supported by extensive experiments on real and synthetic depth maps which exhibit surface coherence property. Unlike the existing surface characterizati…