Publication

Low bit-rate compression of omnidirectional images

Related publications (135)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Coupling matrix synthesis of dissipative microwave filters

Michael Mattes, Francisco Edén Sorolla Rosario, Diego Navarro Tapia

This study reviews the coupling matrix synthesis of dissipative microwave filters. It compares it to the synthesis of lossless transfer functions and shows that by correctly interpreting the mathematical operations in the lossless case, that is especially ...

Institution of Engineering and Technology2011

On the Limits of Perceptually Optimized JPEG

Touradj Ebrahimi, Francesca De Simone, Lutz Goldmann, Denis Filimonov

The study presented in this paper aims at quantifying the empirical limits of JPEG optimization, when the compressed stream is standard compliant and only the quantization tables are optimized. Image-dependent quantization tables, which minimize the bitrat ...

2010

Lossless Source Coding with Polar Codes

Satish Babu Korada, Harm Cronie

In this paper lossless compression with polar codes is considered. A polar encoding algorithm is developed and a method to design the code and compute the average compression rate for finite lengths is given. It is shown that the scheme achieves the optima ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Universal Source Polarization and Spare Recovery

Emmanuel Abbé

Polar codes allow to perform lossless compression of i.i.d. sources at the lowest rate with low encoding and decoding complexity. In this paper, it is shown that for binary sources, there exist “universal polar codes” which can compress any source of low e ...

2010

A (256x256) Pixel 76.7mW CMOS Imager/ Compressor Based on Real-Time In-Pixel Compressive Sensing

Pierre Vandergheynst, Alexandre Schmid, Yusuf Leblebici, Laurent Jacques, Vahid Majidzadeh Bafar

A CMOS imager is presented which has the abil- ity to perform localized compressive sensing on-chip. In-pixel convolutions of the sensed image with measurement matrices are computed in real time, and a proposed programmable two- dimensional scrambling tech ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Methods for efficient certificate revocation list compression

Serge Vaudenay, Imad Aad, Valtteri Niemi, Rafik Chaabouni, Atefeh Mashatan

A method for providing efficient management of certificate revocation may comprise storing a list of identifiers of digital certificates including a revocation list defining a list of revoked certificates in an accumulator, storing a witness value in assoc ...

2010

On unifying sparsity and geometry for image-based 3D scene representation

Ivana Tosic

Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...

EPFL2009

The JPEG 2000 Suite

The JPEG 2000 Suite provides a comprehensive overview of the baseline JPEG 2000 standard and its extensions. The first part of the book sets out the core coding system, additions to the standard and reference software. The second part discusses the success ...

John Wiley & Sons2009

Ongoing standardization efforts

Touradj Ebrahimi

John Wiley & Sons2009

Bit Rate Allocation for Disparity Estimation from Compressed Images

Pascal Frossard, Vijayaraghavan Thirumalai

This paper presents a novel rate allocation scheme to compute the 3D structure of the scene from compressed stereo images, captured by the distributed vision sensor networks. The images captured at different view points are encoded independently with a bal ...

2009