Motion compensation and reconstruction of digital images, 1996

Item — Call Number: MU Thesis Raj

Identifier: b2194832

Staff Only

Scope and Contents

From the Collection:

The collection consists of theses written by students enrolled in the Monmouth College and Monmouth University graduate Electronic Engineering programs. The holdings are bound print documents that were submitted in partial fulfillment of requirements for the Master of Science degree.

Dates

Creation: 1996

Creator

Rajendraprasad, N. K. (Nama K.) (Author, Person)
Yu, Guoyao (Thesis advisor, Person)

Conditions Governing Access

All analog collection holdings are limited to library use only.

Researchers seeking to photocopy collection materials must complete an Application to Photocopy Form.

In some cases, photocopying of collection materials may be performed by the Monmouth University Library staff.

The Monmouth University Library reserves the right to limit or refuse duplication requests subject to the condition of collection materials and/or restrictions imposed by the collection creators or by the United States Copyright Act.

Permission to examine, or copy, collection materials does not imply permission to publish or quote. It is the responsibility of the researcher to obtain such permissions from both the copyright holder and Monmouth University.

Extent

1 Items (print book) : 36 pages ; 8.5 x 11.0 inches (28 cm).

Language of Materials

English

Additional Description

Abstract

Motion compensation is one of the important basic building blocks in image processing especially for images having temporal redundancy (correlation between different frames in a sequence of images). The process of determining the movement of objects within a sequence of images is known as motion compensation. Processing images accounting for the presence of motion is called motion compensated image processing. Among the various advantages it offers, the biggest advantage lies in the fact that it considerably reduces the bandwidth of the line required for transmitting the images. By estimating motion parameters new frames can be created between two adjacent existing frames. It is also very useful in image coding because by predicting the intensity of current frame and the predicted current frame, one can limit the coding to be the difference in intensities between the current frame and the predicted current frame. After constructing the compensated image the quantized error can be applied to reconstruct the image. The reconstructed image will be very close in quality to the original image. Signal to noise ration (SNR) is used as a measure to determine the quality of the reconstructed image. A system can be designed to satisfy SNR requirements. Motion compensated image processing has many practical applications, for example in Video Mailing, Video Telephony, Tele Conferencing [sic], Telemedicine, Telescience, etc.

Physical Description

Includes five color plates (Figures 1-5).

Partial Contents

1. Hardware and software used in this project -- 2. Theory on motion compensation -- 3. Motion vector estimation algorithm (PHODS) -- 4. Compensated image and SNR calculation -- 5. Quantized error and its calculations -- 6. Reconstructed image and SNR calculations -- 7. Experimental data and a brief description -- 8. Actual experimental data: photographs and figures -- 9. 'C' code lisiting and a brief description -- 10. Conclusion -- References.