Model-based quantization for perceptually weighted compressed video sensing

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analysis of weighted ℓ1-minimization for model based compressed sensing

The central problem of Compressed Sensing is to recover a sparse signal from fewer measurements than its ambient dimension. Recent results by Donoho, and Candes and Tao giving theoretical guarantees that ( 1-minimization succeeds in recovering the signal in a large number of cases have stirred up much interest in this topic. Subsequent results followed, where prior information was imposed on th...

متن کامل

Quantization for Compressed Sensing Reconstruction

Quantization is an important but often ignored consideration in discussions about compressed sensing. This paper studies the design of quantizers for random measurements of sparse signals that are optimal with respect to mean-squared error of the lasso reconstruction. We utilize recent results in high-resolution functional scalar quantization and homotopy continuation to approximate the optimal...

متن کامل

Adaptive one-bit quantization for compressed sensing

There have been a number of studies on sparse signal recovery from one-bit quantized measurements. Nevertheless, less attention has been paid to the choice of the quantization thresholds and its impact on the signal recovery performance. In this paper, we examine the problem of quantization in a general framework of one-bit compressed sensing with non-zero quantization thresholds. Our analysis ...

متن کامل

Compressed Video Sensing

Recently, the notions of Compressed Sensing and Compressive Sampling have attracted attention as an innovative concept in signal processing. Compressed sensing proposes that, when dealing with signals which are highly compressible in a known basis, for example in a wavelet basis, one can dispense with traditional sampling and instead take a small number of samples which are functionals of the w...

متن کامل

Video Coding using Perceptually Weighted Vector Zerotrees and Adaptive Vector Quantization

A new system for intraframe coding of video is described. This system combines zerotrees of vectors of wavelet coefficients and the generalized-threshold-replenishment (GTR) technique for adaptive vector quantization (AVQ). A data structure, the vector zerotree (VZT), is introduced to identify trees of insignificant vectors, i.e., those vectors of wavelet coefficients in a dyadic subband decomp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEICE Communications Express

سال: 2016

ISSN: 2187-0136

DOI: 10.1587/comex.2016xbl0071