Structure and texture filling-in of missing image blocks in wireless transmission and compression applications
Structure and texture filling-in of missing image blocks in wireless transmission and compression applications
复制标题
DOI：
10.1109/tip.2002.804264
复制
发表时间：
2003-03-01
影响因子：
10.6
通讯作者：
Bertalmio, M
中科院分区：
文献类型：
--
作者：
Rane, SD;Sapiro, G;Bertalmio, M
提出了一种无线图像传输中丢失数据块的填补方法。当JPEG等压缩算法用作无线传输过程的一部分时，图像首先被平铺成8 x 8像素的块。当这样的图像在衰落信道上传输时，噪声的影响可以破坏图像的整个块。而不是使用常见的重传查询协议，我们的目标是重建丢失的数据，使用丢失的块和它的邻居之间的相关性。如果丢失的块包含结构，则使用图像修复算法重建，而纹理合成用于纹理块。两种方案之间的切换是基于周围可用块以全自动方式完成的。该方法的性能进行了测试，为各种图像和丢失块的组合。这种方法的可行性的图像压缩，与有损JPEG，也进行了讨论。
An approach for filling-in blocks of missing data in wireless image transmission is presented in this paper. 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.