Title :
Inpainting Assisted Self Recovery With Decreased Embedding Data
Author :
Qian, Zhenxing ; Feng, Guorui
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
When hiding information in an image for self recovery, the amount of embedding data affects the embedding influence and the recovery quality. The purpose of this paper is to reduce the amount of embedding data while maintaining good recovery quality. We propose an approach to generate reference data from the original image by encoding different types of blocks into different number of bits. In reconstructing the reference image, a fast inpainting method is used to recover the contents of corrupted regions accompanied with the extracted bits.
Keywords :
data encapsulation; image coding; image reconstruction; decreased embedding data; fast inpainting method; information hiding; inpainting assisted self recovery; original image; reference data; Data mining; Discrete cosine transforms; Encoding; Image coding; Image edge detection; Image reconstruction; Quantization; Data hiding; inpainting; self embedding; self recovery;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2010.2072991