An Adaptive Irregular Sampling Method for Progressive Transmission
نویسندگان
چکیده
An adaptive nonuniform sampling technique for alias-free image representation is presented. It is both fast, thanks to the use of pseudo-Poisson disks (PPDs), and eeective, because a higher sample density is used in areas which are rich in details; these zones of the image are located using a skewness-based operator, which is both simple and accurate, and gradient information. Experimental results on real-world images are presented , which show that this technique provides images free of aliasing and with good detail content. As an example of application, a progressive image coding scheme based on the proposed technique is also presented .
منابع مشابه
High Compression of Colour Images with Nonuniform Sampling
Transform coding of images and video with nonuniformly sampled chrominance is proposed for applications requiring very high compression. The proposed coding scenario applies adaptive subsampling of chrominance according to local activity detected in luminance component. Blockbased transform coding is adopted to coding of images whose samples are taken from an irregular grid. This irregular grid...
متن کاملAdaptive Sampling for QoS Traffic Parameters Using Fuzzy System and Regression Model
Quality of service evaluation of wired and wireless networks for multimedia communication requires transmission parameters of packets making up the traffic through the medium to be analysed. Sampling methods play an important role in this process. Sampling provides a representative subset of the traffic thus reducing the time and resources needed for packet analysis. In an adaptive sampling, un...
متن کاملبازخوانی نارسایی اضطراب حدیث، حکم و چگونگی تعامل با آن
In Islam, tradition has a special place for it is the second source of understanding religion after the holy Quran. Muslim scholars use their best endeavours to keep and study traditions, and compose hundreds of books to recognize and understand the contents of traditions and their chains of transmission. Some of the narrations in the hadith sources do possess irregularity in texts or chain. Wh...
متن کاملAN ADAPTIVE IMPORTANCE SAMPLING-BASED ALGORITHM USING THE FIRST-ORDER METHOD FOR STRUCTURAL RELIABILITY
Monte Carlo simulation (MCS) is a useful tool for computation of probability of failure in reliability analysis. However, the large number of samples, often required for acceptable accuracy, makes it time-consuming. Importance sampling is a method on the basis of MCS which has been proposed to reduce the computational time of MCS. In this paper, a new adaptive importance sampling-based algorith...
متن کاملAn irregular sampling algorithm adapted to the local frequency content of signals and the corresponding on-line reconstruction algorithm
Description of signals using wavelet transforms leads to useful time-frequency localization and possible signal compression. Based on the Discrete Wavelet Transform (DWT) an adaptive sampling algorithm in the discrete time domain is constructed, by finding an univocal relation between the signal’s samples and the non-zero transform coefficients of its DWT. Reconstruction is performed through re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998