Novel Approach for High Secure and High Rate Data Hidden in the Image Using Image Texture Analysis

نویسنده

  • Anas Majeed
چکیده

Steganography is the idea of hiding private, sensitive data or information within something that appears to be nothing but normal. If a person views the digital object that the information is hidden inside, he or she will have no idea that there is any hidden information, therefore the person will not attempt to decrypt the information, this is the main objective behind steganography. In this paper we extend a work approved two approaches from LSB algorithm; the 3-3-2 approach without any limitations on the type of images being used and can reach up to 33.3% of size of hidden data, and the second one is the 4-4-4 approach which increase the amount up to 50 % of hidden data from the size of image but with certain limitations on the type of images, the new approach features will increase the data hidden in the image by merge the above approaches. Image texture and edge detection has been involve to appoint the appreciate sample from the image with the suitable

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On the use of Textural Features and Neural Networks for Leaf Recognition

for recognizing various types of plants, so automatic image recognition algorithms can extract to classify plant species and apply these features. Fast and accurate recognition of plants can have a significant impact on biodiversity management and increasing the effectiveness of the studies in this regard. These automatic methods have involved the development of recognition techniques and digi...

متن کامل

Proposing an effective approach for Network security and multimedia documents classically using encryption and watermarking

Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...

متن کامل

Image Classification via Sparse Representation and Subspace Alignment

Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

متن کامل

A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image

Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...

متن کامل

A Novel Patch-Based Digital Signature

In this paper a new patch-based digital signature (DS) is proposed. The proposed approach similar to steganography methods hides the secure message in a host image. However, it uses a patch-based key to encode/decode the data like cryptography approaches. Both the host image and key patches are randomly initialized. The proposed approach consists of encoding and decoding algorithms. The encodin...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009