• 沒有找到結果。

Image Hiding Scheme with Modulus Function and Dynamic Programming Strategy on Partitioned Pixels

N/A
N/A
Protected

Academic year: 2022

Share "Image Hiding Scheme with Modulus Function and Dynamic Programming Strategy on Partitioned Pixels"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

題名: Image Hiding Scheme with Modulus Function and Dynamic Programming Strategy on Partitioned Pixels

作者: Chang, C. C.;Chan, C. S.;Fang, Y. H.

關鍵詞: Image hiding;The least-significant-bit substitution technique;Modulus function 日期: 2006-06

上傳時間: 2009-12-17T06:58:19Z 出版者: Asia University

摘要: In this paper, we shall propose a novel image-hiding scheme. Our new scheme classifies the host image pixels into two groups of pixels according to the pixel values. For each group of pixels, the corresponding secret pixel values go through an optimal substitution process and are transformed into other pixel values by following the dynamic programming strategy. Then, we can embed the transformed pixel values in the host pixels by using the modulus functions and obtain the stego- image. Extensive experimental results demonstrate that our new method is capable of offering better stego-image quality than a number of well-accepted schemes.

參考文獻

相關文件

100, 480, 507 training scores (values given) 2, 817, 131 test scores (values unknown) Select the 9 most recent scores for each user Divided into probe, quiz, and test sets. Probe set

To an accuracy of 3 pixels, 72% of interest points are repeated (have correct position), 66% have the correct position and scale, 64% also have correct orientation, and in total 59%

• Color the nodes representing literals by their truth values (color 0 for false and color 1 for true).. – We are dealing with the a-triangles here, not the

The bivariate binomial values with 270 time steps are compared with the values generated by Hilliard and Schwartz [1996], the Hull-White stochastic volatility model [1987], and

On the other hand Chandra and Taniguchi (2001) constructed the optimal estimating function esti- mator (G estimator) for ARCH model based on Godambes optimal estimating function

students Nurturing positive values and attitudes through reading and identifying values and attitudes expressed in the

A clever and simplifying strategy: pairing up all the rays coming through the slit and then finding what conditions cause the waves of the rays in each pair to cancel each other.

Light rays start from pixels B(s, t) in the background image, interact with the foreground object and finally reach pixel C(x, y) in the recorded image plane. The goal of environment