Results 101 to 110 of about 53,992 (120)

Hybrid video coding model of finite ridgelet transform and H.264/AVC

2009 Picture Coding Symposium, 2009
We developed a new video coding model that combines block-based finite ridgelet transform with H.264/AVC. This model is based on H.264/AVC codec and a new video coding mode called the ridgelet mode is added to it in order to incorporate the directional transform feature. In the ridgelet mode, residuals of each block after intra or inter predictions are
Tomokazu Murakami, Masashi Takahashi
openaire   +2 more sources

Speech Watermarking Technique Using the Finite Ridgelet Transform, Discrete Wavelet Transform, and Singular Value Decomposition

2017
In this chapter, existing watermarking techniques for the speech signal and its various features are described. A new watermarking technique is composed of the finite ridgelet transform (FRT), discrete wavelet transform (DWT), and singular value decomposition (SVD).
Rohit Thanki, Komal Borisagar, Surekha Borra   +2 more
openaire   +2 more sources

Linetype Structure Image Denoising Via Improved Finite Ridgelet Transform

2006 8th international Conference on Signal Processing, 2006
This paper presents an improved finite ridgelet transform (IMFRIT) approach to linetype structure image denoising. The key element of this technique is an improvement of the finite Radon transform, whereby the transform is defined on non-square grid rather than on square one.
Lian-wei Lu, Peng-lang Shui
openaire   +2 more sources

Generalized Finite Continuous Ridgelet Transform

Trends in Mathematics, 2022
Nitu Gupta, V R Lakshmi Gorty
exaly   +2 more sources

Video Shot Boundary Detection Using Finite Ridgelet Transform Method

2014
Video shot transition identification constitutes an important computer vision research field, being applied, as an essential step, in many digital video analysis domains: video scene detection, video compression, video indexing, video content retrieval and video object tracking.
Parul S. Arora Bhalotra, Bhushan D. Patil   +1 more
openaire   +2 more sources

Algorithm based on the finite ridgelet transform for enhancing faint pavement cracks

Optical Engineering, 2008
A novel image enhancement algorithm for faint pavement cracks is proposed, based on the finite ridgelet transform (FRIT). In high-resolution FRIT subbands, typical linear singularities of the image are represented by a few coefficients, while randomly located noisy singularities are unlikely to produce significant coefficients.
Gang Wang, Xiu-wei Xu, Liang Xiao, An-zhi He   +3 more
openaire   +2 more sources

Design and FPGA implementation of finite Ridgelet transform [image processing applications].

2005 IEEE International Symposium on Circuits and Systems, 2017
Isa Servan Uzun, Abbes Amira
openaire   +2 more sources

A Palmprint Classification Method Based on Finite Ridgelet Transformation and SVM

2011
A multi-scale palm print classification method based on FRIT (finite ridgelet transform) and SVM (support vector machine) was proposed. First, palm image with preprocessing was decomposed by using FRIT. As a result, ridgelet coefficients in different scales and various angels were obtained.
Wenjun Huai, Li Shang
openaire   +1 more source

Texture Classification Using Finite Ridgelet Transform and Support Vector Machines

2006
Based on energy distribution analysis of FRIT coefficients, a novel feature extraction method of low computation complexity in FRIT domain was proposed for texture classification in this paper. A 'one-against-one' multi-class SVM with RBF kernel was adopted as classifier.
Yunxia Liu, Yuhua Peng, Xinhong Zhou
openaire   +1 more source

The Analysis for the New Individualized Features Derived from Finite Ridgelet Transform

2006 IEEE International Symposium on Industrial Electronics, 2006
In the literature of speaker recognition, the short-term features obviously dominates in the description of the individualized information for the candidates whose conventional assumption is the nonstationarity in the block. This paper discards the popular ideas and produces such features as segment center decimation(SCD), differential segment center ...
Wang Jinfang, Ma Haitao, Wang Jinbao
openaire   +1 more source