Structure and texture filling-in of missing image blocks in wireless transmission and compression applications.

An approach for filling-in blocks of missing data in wireless image transmission is presented. When compression algorithms such as JPEG are used as part of the wireless transmission process, images are first tiled into blocks of 8 x 8 pixels. When such images are transmitted over fading channels, the effects of noise can destroy entire blocks of the image. Instead of using common retransmission query protocols, we aim to reconstruct the lost data using correlation between the lost block and its neighbors. If the lost block contained structure, it is reconstructed using an image inpainting algorithm, while texture synthesis is used for the textured blocks. The switch between the two schemes is done in a fully automatic fashion based on the surrounding available blocks. The performance of this method is tested for various images and combinations of lost blocks. The viability of this method for image compression, in association with lossy JPEG, is also discussed.

Chapter one

Introduction

Background of the study

Statement of the problem

Purpose of the study

Significance of the study

Limitation of the study

Chapter two

Review of literature

Chapter three

Research design and methodology

Sources of data

Location of data

Method of investigation

Chapter four

Findings

Chapter five

Recommendation and conclusion

BIBLIOGRAPHY.

CHAPTER ONE

INTRODUCTION