Enhancement of Image Fusion Techniques / (Record no. 217118)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03237 a2200193 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Nust |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260206191939.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Nust |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,JAM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jameel, Amin |
| 9 (RLIN) | 133113 |
| 245 ## - TITLE STATEMENT | |
| Title | Enhancement of Image Fusion Techniques / |
| Statement of responsibility, etc. | Amina Jameel |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2014 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii, 89 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Image fusion is the process of combining relevant information from several images into one<br/>image. The final output image provides more information than any of the single image. The<br/>benefits of image fusion include: extended spatial and temporal coverage, extended range<br/>of operation, increased reliability, robust system performance, reduced uncertainty, higher<br/>signal to noise ratio, compact representation of information, reduction in the amount of<br/>data to be processed and creation of new images that are more suitable for human/machine<br/>perception, for further image-processing tasks (such as segmentation, object detection or<br/>target recognition) and applications (such as remote sensing, medical imaging, surveillance<br/>systems etc).<br/>This research is concerned with the problem of multisensor pixel-level image fusion. The<br/>aim was to develop reliable schemes that represent the visual information, obtained from<br/>a number of different imaging sensors, in a single fused image without the introduction of<br/>distortion or loss of information. In all, six different pixel-level image fusion schemes are<br/>proposed. The first scheme uses compressive sensing principle to fuse visible and infrared<br/>images with the aim of achieving reasonable fusion performance at very low complexity.<br/>This novel entropy dependent image fusion scheme adaptively adjusts the number of compressive<br/>measurements depending on the amount of information. An improved guided image<br/>fusion for magnetic resonance and computed tomography imaging is proposed as the second<br/>fusion approach. The next three fusion schemes deal with another important aspect in the<br/>design of pixel-level image fusion algorithms i.e. robustness against noise. The aim was<br/>to design multi-focus image fusion algorithms that provide acceptable performance in the<br/>presence of noise. Three different algorithms for three different scenarios of multi-focus<br/>fusion are considered: static, dynamic and all in focus fusion. The proposed schemes not<br/>only preserve the details in the fused image, they are also efficient in reducing noise. The<br/>last fusion scheme uses a guided filter and intensity hue saturation based pan-sharpening<br/>approach to fuse satellite images. The scheme combines the high resolution uni-spectral<br/>and low-resolution multispectral images taking into account the intensity levels and spatial<br/>information.<br/>Simulation results when analysed visually and quantitatively depict the significance of<br/>the proposed schemes compared to existing schemes. The results of all the proposed image<br/>fusion schemes are demonstrated through examples of fused imagery and results of objective<br/>tests against conventional image fusion schemes. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Abdul Ghafoor |
| 9 (RLIN) | 132894 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Source of classification or shelving scheme | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 12/12/2016 | 621.382,JAM | MCSPhd EE-06 | 12/08/2016 | 12/12/2016 | Thesis | Almirah No.68, Shelf No.6 |