نتایج جستجو برای: shifting property

تعداد نتایج: 187214  

2007
Hanako Yoshida Rima Hanania

This paper investigates the role of general attention-shifting mechanisms in children’s early adjective learning. A novel version of an adjective-learning paradigm was used to probe whether attentional mechanisms could account for early adjective learning without recourse to high-level syntactic knowledge. Twoand 3-year-olds participated. One condition removed all syntactic information by prese...

2009
Che-Wei Lee Wen-Hsiang Tsai

A lossless data hiding method based on histogram shifting is proposed, which employs a scheme of adaptive division of cover images into blocks to yield large data hiding capacities as well as high stego-image qualities. The method is shown to break a bottleneck of data-hiding-rate increasing at the image block size of 8 × 8, which is found in existing histogram-shifting methods. Four ways of bl...

Journal: :CoRR 2017
Xiaowei Jia Ankush Khandelwal Anuj Karpatne Vipin Kumar

In this paper, we investigate the multi-variate sequence classification problem from a multi-instance learning perspective. Real-world sequential data commonly show discriminative patterns only at specific time periods. For instance, we can identify a cropland during its growing season, but it looks similar to a barren land after harvest or before planting. Besides, even within the same class, ...

Journal: :Applied optics 2011
Bicheng Chen Cemal Basaran

We propose a statistical phase-shifting estimation algorithm for temporal phase-shifting interferometry (PSI) based on the continuous wavelet transform (CWT). The proposed algorithm explores spatial information redundancy in the intraframe interferogram dataset using the phase recovery property on the power ridge of the CWT. Despite the errors introduced by the noise of the interferogram, the s...

2012
Rajendra D. Kanphade N. S. Narawade

The Hong’s modified histogram shifting method is best method of reversible watermarking. But Hong’s modified histogram method is not suitable for cartoon images. Our improved backward histogram shifting method overcome drawback of Hong’s method. Generally PSNR decreases when embedding capacity increases. But our improved backward histogram shifting method gives more embedding capacity and high ...

2012
Rajendra D. Kanphade

The modified histogram shifting method proposed by Hong et. al.(2010) is best method of reversible watermarking[16]. The shifting of pixels are more in Hong et. al.(2010) method. Even Hong et. al.(2010) method of modified histogram shifting has less embedding capacity and do not provide enough quality for general purpose image. Our forward modified histogram shifting method overcomes all these ...

2005
B. BELAROUSSI H. BENOIT-CATTIN C. ODET

In Gradient Echo (GE) images, susceptibility artifact induces both intravoxel dephasing and pixel shifting (Fig. 2-a) leading to intensity and geometric distortions [1] that may disturb image analysis. In previous works, correction of GE images is assessed by modifying acquisition parameters or by using specific sequences [2]. All the proposed techniques always constrain the acquisition process...

Journal: :IEEE Trans. Consumer Electronics 2000
Ding-Yun Chen Ming Ouhyoung Ja-Ling Wu

Digital watermark is a technique used to protect the ownership of images and their associated software. A useful watermark scheme should be visually imperceptible and must be robust to resist various attacks: such as JPEG compression, pixel-shifting, cropping, blurring, etc. In this paper, we propose a public watermarking system to protect image processing software and images. We embed a binary...

2006
Robert A. Proctor

The jeu de taquin process produced a standard Young tableau from a skew standard Young tableau by shifting its entries to the northwest. We generalize this process to posets: certain partial numberings of any poset are shifted upward. A poset is said to have the jeu de taquin property if the numberings resulting from this process do not depend upon certain choices made during the process. Young...

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