Inpainting for compressed images

Inpainting for Compressed Images

Motivated by the recent work on image inpainting in pixel domain using tight frame in [3], we propose a unified iterative frame-based algorithm for inpainting compressed images to recover missing bits or missing coefficients during the compression process. Such an inpainting algorithm could be applied to any image compression scheme based on coefficients thresholding and quantization in some tr...

Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images

In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...

Inpainting Images on Implicit Surfaces

Planar image processing has been widely investigated for many years. The processing operations include denoising, edge enhancement, edge detecting, inpainting, and others. But there exists little work about processing images on surfaces, since it is difficult to extend the classic methods to deal with the problem. In this paper, we study the inpainting algorithm of images on implicit surfaces b...

Compressed domain indexing of losslessly compressed images

Restoration of Still Images using Inpainting Techniques

This paper presents an inpainting algorithm, which implements the filling of damaged region with impressive results. Many algorithms usually require several minutes on current personal computers for the inpainting of relatively small areas. Such a time is unacceptable for interactive sessions and motivated us to design a simpler and faster algorithm capable of producing similar results in just ...