Application of nonlinear pre- and post-processing in low bit rate, error resilient image communication

作者:

Highlights:

摘要

The low bit rate, error resilience image coding method proposed here takes into account the content of an image and yields the least amount of degradation, caused by data loss, in those areas of the image which are of greater interest. This is achieved by employing a non-linear geometrical transform to add redundancy mainly to the region of interest (ROI). The non-linear transformation increases the ratio of pixels in the ROI to the total number of pixels in the image. This increased redundancy for ROI yields a high-quality reconstruction of ROI even with missing data. Simulations show that this approach has acceptable performance. Moreover, the method proposed here can be implemented through pre- and post-processing of the image data, without modification to the source codecs (e.g., JPEG).

论文关键词:

论文评审过程:Received 5 December 2002, Revised 3 June 2003, Accepted 12 June 2003, Available online 2 September 2003.

论文官网地址:https://doi.org/10.1016/j.image.2003.06.002