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LOW COMPLEXITY MOSAICKING AND UP-SAMPLING TECHNIQUES
FOR HIGH RESOLUTION VIDEO DISPLAY
by
Ming-Sui Lee
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Ful¯llment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
December 2006
Copyright 2006 Ming-Sui Lee
Object Description
| Title | Low complexity mosaicking and up-sampling techniques for high resolution video display |
| Author | Lee, Ming-Sui |
| Author email | mingsuil@usc.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2006-10-19 |
| Date submitted | 2006 |
| Restricted until | Unrestricted |
| Date published | 2006-11-16 |
| Advisor (committee chair) | Kuo, C.-C. Jay |
| Advisor (committee member) |
Narayanan, Shri Zimmermann, Roger Neumann, Ulrich |
| Abstract | Several challenging issues for applications of image/video mosaicking and upsampling with high resolution are addressed here, all of which are mainly conducted in DCT (Discrete Cosine Transform) domain so that lower computation complexity can be achieved.; First of all, color matching and compensation techniques are proposed to remove the seam lines between image boundaries due to the different color tones of the inputs. Color deviation of each input image is corrected first and color differences between input images are then compensated using the polynomial-based contrast stretching technique. The proposed approach is attractive for its lower computational complexity. Experimental results demonstrate that the color-matching problem can be satisfactorily solved in the compressed domain even when the DCT blocks of original input images are not aligned.; Two block-level image registration techniques for compressed video such as motion JPEG or the I-picture of MPEG are investigated. The proposed methods are based on edge estimation and extraction in DCT domain so that the computational cost of image registration is reduced dramatically while achieving certain quality of composition. In order to reach higher accuracy of registration, hybrid block/pixel level alignment, is proposed so that the displacement vector resolution can be enhanced from the block level to the pixel level. The inverse DCT transform is not performed to the whole image but only to some selected blocks. It is shown by experiments that the proposed algorithm saves around 40% of the computational complexity while achieving the same quality.; In the last part, a content adaptive technique is proposed to upsample an image to an output image of higher resolution. The proposed technique is a block-based processing algorithm that offers the flexibility in choosing the most suitable up-sampling method for a particular block type. Block classfication is fist conducted in the DCT domain to categorize each image block into several types: smooth areas, textures, edges and others. For the plain background and smooth surfaces, simple patches are used to enlarge the image size without degrading the resultant visual quality. The unsharp masking method is applied to the textured region to preserve high frequency components. Since human eyes are more sensitive to edges, we adopt a more sophisticated technique to process edge blocks. That is, they are approximated by a facet model so that the image data at subpixel positions can be generated accordingly. A post-processing technique such as 1D directional unsharp masking can be used to enhance edge sharpness furthermore. Experimental results are given to demonstrate the efficiency of the proposed techniques. |
| Keyword | image/video mosaicking; compressed domain image/video processing; low-complexity algorithms |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Type | texts |
| Legacy record ID | usctheses-m161 |
| Rights | Lee, Ming-Sui |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Lee-20061116 |
| Archival file | uscthesesreloadpub_Volume17/etd-Lee-20061116.pdf |
Description
| Title | Page 1 |
| Full text | LOW COMPLEXITY MOSAICKING AND UP-SAMPLING TECHNIQUES FOR HIGH RESOLUTION VIDEO DISPLAY by Ming-Sui Lee A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful¯llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) December 2006 Copyright 2006 Ming-Sui Lee |
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