Abstract

Wireless transmission of compressed visual information presents new challenges in image coding and reconstruction techniques. Unlike the traditional error-free media for which current coding standards have been designed, wireless channels do not offer guaranteed transmission, and data loss over such channels can result in catastrophic errors in the decoded visual information. Visual data, however, can be reconstructed using lossy signal processing techniques. To date, reconstruction algorithms have been developed for fixed coding techniques. This paper presents and solves the dual problem --- a block-based coding technique, namely a family of lapped orthogonal transforms (LOTs), is designed to maximize the reconstruction performance of a specified reconstruction algorithm. Mean-reconstruction, in which a missing coefficient block is replaced with the average of its available neighbors, is selected for its simplicity and ease of implementation. A reconstruction criterion is defined as t...

Citations