Publications related to Space-frequency quantization for image compression with directionlets

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Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou

We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. In particular, we exploit the increasing correlation between the exchanged values throughout the iterations of t ...

2012

Model-based Sensor Data Acquisition and Management

Karl Aberer, Saket Sathe, Ho Young Jeung

In recent years, due to the proliferation of sensor networks, there has been a genuine need of researching techniques for sensor data acquisition and management. To this end, a large number of techniques have emerged that advocate model-based sensor data a ...

Springer2012

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Anastasios Kyrillidis

For linear models, compressed sensing theory and methods enable recovery of sparse signals of interest from few measurements-in the order of the number of nonzero entries as opposed to the length of the signal of interest. Results of similar flavor have mo ...

Institute of Electrical and Electronics Engineers2012

Retrieval of occluded images using DCT phase and region merging

Pierre-André Farine, Sara Grassi Pauletti, Pradyumna Ayyalasomayajula

In this paper we present an efficient method for Content Based Image Retrieval (CBIR) of occluded images using DCT-phase. The proposed method utilizes a novel correlation metric for ternary-valued DCT-phase, as well as a region merging method to reconstruc ...

IEEE2012

Data compression on the sphere

Yves Wiaux, Jason Douglas McEwen

Large data-sets defined on the sphere arise in many fields. In particular, recent and forthcoming observations of the anisotropies of the cosmic microwave background (CMB) made on the celestial sphere contain approximately three and fifty mega-pixels respe ...

Indian Academy of Sciences2011

Performance analysis of VP8 image and video compression based on subjective evaluations

Touradj Ebrahimi, Francesca De Simone, Jong Seok Lee, Lutz Goldmann

Today, several alternatives for compression of digital pictures and video sequences exist to choose from. Beside internationally recognized standard solutions, open access options like the VP8 image and video compression have recently appeared and are gain ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou

2011

Analyzing Near-infrared Images for Utility Assessment

Sabine Süsstrunk, Zahra Sadeghipoor Kermani, Neda Salamati

Visual cognition is of significant importance in certain imaging applications, such as security and surveillance. In these applications, an important issue is to determine the cognition threshold, which is the maximum distortion level that can be applied t ...

SPIE-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Sparse Image Representation by Directionlets

Martin Vetterli, Vladan Velisavljevic, Pier Luigi Dragotti

Despite the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency and sparsity of its representation are limited by the spatial symmetry and separability of its basis functions built in the horizontal and vertic ...

Elsevier2010

Space-frequency quantization for image compression with directionlets

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Progressive quantization in distributed average consensus

Model-based Sensor Data Acquisition and Management

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Retrieval of occluded images using DCT phase and region merging

Data compression on the sphere

Performance analysis of VP8 image and video compression based on subjective evaluations

Progressive quantization in distributed average consensus

Analyzing Near-infrared Images for Utility Assessment

Sparse Image Representation by Directionlets

Sensing and Recovery under Sparsity Constraints

Performance analysis of VP8 image and video compression based on subjective evaluations

Sensing and Recovery under Sparsity Constraints

Model-based Sensor Data Acquisition and Management

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Data compression on the sphere

Progressive quantization in distributed average consensus

Retrieval of occluded images using DCT phase and region merging

Progressive quantization in distributed average consensus

Analyzing Near-infrared Images for Utility Assessment

Sparse Image Representation by Directionlets