State-of the-art robust 3D watermarking schemes already withstand combinations of a wide variety of attacks (e.g. noise
addition, simplification, smoothing, etc). Nevertheless, there are practical limitations of existing 3D watermarking
methods due to their extreme sensitivity to cropping. Spread Transform Dither Modulation (STDM) method is an
extension of Quantization Index Modulation (QIM). Besides the simplicity and the trade-off between high capacity and
robustness provided by QIM methods, it is also resistant against re-quantization. This paper focuses on two state-of-the-art
techniques which offer different and complementary advantages, respectively QIM-based 3D watermarking and
feature point-based watermarking synchronization. The idea is to combine both in such a way that the new scheme
would benefit from the advantages of both techniques and compensate for their respective fragilities. The resulting
scheme does not make use of the original 3D model in detection but of some parameters as side-information. We show
that robustness against cropping and other common attacks is achieved provided that at least one feature point as well as
its corresponding local neighborhood is retrieved.
In dependent stereo image compression, the aim is to minimize the bitrate of disparity map and that of residual
image. Traditionally, focus has been paid on either disparity map or residual image. In this paper, we compute
an optimal disparity map (in terms of bitrates) by jointly exploiting the trade-off between the disparity map and
the residual image. Firstly, the dense disparity map is obtained using existing optical flow technique. Secondly,
the dense disparity map is quantized using a RD framework. Consequently, the resulting bitrate of the disparity
map decreases significantly at the cost of a slight increase of the bitrate of the residual image. As a result, the
overall bitrate attains minimum value. The proposed scheme is compatible and can be integrated in JPEG2000
The copyright protection of Digital Cinema requires the insertion of forensic watermarks during exhibition playback.
This paper presents a low-complexity exhibition watermarking method based on quantization index modulation (QIM)
and embedded in the DCI compliant decoder. Watermark embedding is proposed to fit in the JPEG2000 decoding
process, prior to the inverse wavelet transform and such as it has a minimal impact on the image quality, guarantying a
strong link between decompression and watermarking. The watermark is embedded by using an adaptive-Spread
Transform Dither Modulation (STDM) method, based on a new multi-resolution perceptual masking to adapt watermark
strength. Watermark detection is thereafter performed over the wavelet transformation of the recovered images. The
proposed approach offers a wide range of channel capacities according to robustness to several kinds of distortions while
maintaining a low computational complexity. Watermarking detection performance on Digital Cinema pictures captured
with a video camera from a viewing room has been preliminary assessed, showing very promising results. The proposed
approach provides high levels of imperceptibility, yet good robustness to degradations resulting from camcorder
exhibition capture, to common signal processing operations such as filtering or re-sampling, and to very high
Reproducing a natural and real scene as we see in the real world everyday is becoming more and more popular.
Stereoscopic and multi-view techniques are used for this end. However due to the fact that more information are
displayed requires supporting technologies such as digital compression to ensure the storage and transmission
of the sequences. In this paper, a new scheme for stereo image coding is proposed. The original left and right
images are jointly coded. The main idea is to optimally exploit the existing correlation between the two images.
This is done by the design of an efficient transform that reduces the existing redundancy in the stereo image
pair. This approach was inspired by Lifting Scheme (LS). The novelty in our work is that the prediction step is
been replaced by an hybrid step that consists in disparity compensation followed by luminance correction and
an optimized prediction step. The proposed scheme can be used for lossless and for lossy coding. Experimental
results show improvement in terms of performance and complexity compared to recently proposed methods.