Stereoscopic
Image Compression
With advances in stereoscopic display technologies, a
growing demand was expected for designing efficient stereo image compression
techniques. The focus is to improve the coding performance by modifying the disparity
estimation process in a classical disparity compensated coding scheme,
(disparity is this varying shift that object have on the left view as compared
to that in the right views, and it is this shift that yields a perception of
depth).
A first contribution, [2], builds a dictionary that
links together disparities yielding similar reconstructions, this dictionary if
of a smaller size as compared to the set of allowed disparities and this
reduces the bitrate.
A set of
different disparity-estimation algorithms, [1,3-8], share a common objective,
that of minimizing a joint entropy-disparity metric, resulting in an improved
rate-distortion compression performance. This was done in the context of the co-supervised
PHD thesis of A. Kadaikar with A. Mokraoui.
A disparity-estimation algorithm, conjectured in [10]
and described in [11], minimizes the compensated error prediction in the
specific context where JPEG is being used to code the residual. This is done in
the context of the co-supervised PHD thesis of I. Kadri
with A. Mokraoui.
List of Publications
[1]
A. Kadaikar, A. Mokraoui
and G. Dauphin. Méthode d’optimisation pour l’appariement de pixels
d’images stéréoscopiques basée sur une métrique conjointe entropie-distorsion.
In Compression et Représentation des Signaux Audiovisuels, CORESA, pages 1–7,
26-27 November 2014, Reims, France. Kadaikar14.pdf
[2] G. Dauphin, M. Kaaniche,
and A. Mokraoui. Block dependent dictionary based
disparity compensation for stereo image coding. In IEEE International
conference on image processing, ICIP, pages 1–5, Sep. 2015, Québec City,
Canada.
Dauphin15_paper.pdf Dauphin15_poster.pdf Dauphin15_lecture.wma
[3]
A. Kadaikar, G. Dauphin, and A. Mokraoui.
Extended disparity map estimation algorithm using joint entropy-distortion
metric for non-rectified stereoscopic images. In Symposium on Signal Processing
and Information Technology, ISSPIT, pages 1–6, 7-10 December 2015, Abu Dhabi,
UAE. Kadaikar15c.pdf
[4]
A. Kadaikar, G. Dauphin, and A. Mokraoui.
Modified block matching algorithm improving rate-distortion performance for
stereoscopic image coding. In Symposium on Signal Processing and Information
Technology, ISSPIT, pages 1–6, 7-10
December
2015, Abu Dhabi, UAE. Kadaikar15a.pdf
[5]
A. Kadaikar, G. Dauphin, and A. Mokraoui.
Estimation de cartes de disparité basée sur l’algorithme revisité
d’appariement de blocs pour la compression d’images stéréoscopiques. In Procedings
of the GRETSI Conferences, pages 1–4, 8-11 September 2015, Lyon, France. Kadaikar15b.pdf
[6]
A. Kadaikar, G. Dauphin, and A. Mokraoui.
Improving block-matching algorithm by selecting disparity sets minimizing
distortion for stereoscopic image coding. In IEEE EUropean
Workshop on Visual Information Processing, EUVIP, pages 1–5, 25 - 27 October
2016, Marseille, France. Kadaikar16.pdf
[7]
A. Kadaikar, G. Dauphin, and A. Mokraoui.
Joint disparity and variable size-block optimization algorithm for stereoscopic
image compression. Elsevier journal, Signal Processing Image Communication, 61
:1–8, 2018. Kadaikar18_preprint.pdf
[8]
A. Kadaikar, A. Mokraoui,
and G. Dauphin. Entropy-constrained dense disparity map estimation algorithm
for stereoscopic images. In 22nd European Signal Processing Conference EUSIPCO,
pages 241–245, 1-5 September 2014, Lisbon, Portugal.
[9] I. Kadri, G. Dauphin, A. Mokraoui, and Z. Lachiri. Algorithme d’appariement de blocs basé sur l’optimisation de la compensation de disparité pour le codage d’image stéréoscopique. In Compression et Représentation des Signaux Audiovisuels,
CORESA, pages 1–2, 12-14 November 2018, Poitiers, France. Kadri18.pdf
[10]
I. Kadri, G. Dauphin, A. Mokraoui,
and Z. Lachiri. Stereoscopic image coding performance
using disparity-compensated block matching algorithm. In Signal Processing
Algorithms, Architectures, Arrangements, and Applications, SPA, pages 1–5, Sep
2019. Kadri19a.pdf
[11] I. Kadri, G. Dauphin, and A. Mokraoui.
Disparities selection controlled by the compensated image quality for a given bitrate, Signal Image And Video Processing, 2020, accepted
for publication. Kadri20a.pdf