In this paper, a watermarking algorithm that uses the wavelet transform with Multiple Description Coding (MDC) and Quantization Index Modulation (QIM) concepts is introduced. Also, the paper investigates the role of Contourlet Transform (CT) versus Wavelet Transform (WT) in providing robust image watermarking. Two measures are utilized in the comparison between the waveletbased and the contourl...

In this paper Contourlet based statistical modeling is used for Fabric Defect Detection. The Contourlet transform is a recently proposed two dimensional method used for image analysis. It is very efficient for representing images with fine geometrical structure. In the proposed method for defect detection Contourlet based feature extraction is used. Contourlet Transform is capable of capturing ...

The contourlet transform is a new directional transform, which is capable of capturing contours and fine details in images. We recently introduced the wavelet-based contourlet transform (WBCT) that is a non-redundant version of the contourlet transform, and appropriately used this transform for image coding. In this paper, we introduce the concept of wavelet-based contourlet packets (WBCP), whi...

In this paper, we introduce a SAR images target recognition approach based on the contourlet transform and support vector machine (SVM), which takes technological advantages of both SVM and the contourlet transform for feature extraction.

Discrete Wavelet Transform (DWT) has demonstrated far superior to previous Discrete Cosine Transform (DCT) and standard JPEG in natural as well as medical image compression. Due to its localization properties both in special and transform domain, the quantization error introduced in DWT does not propagate globally as in DCT. Moreover, DWT is a global approach that avoids block artifacts as in t...

Mammogram is important for early breast cancer detection. But due to the low contrast of microcalcifications and noise, it is difficult to detect microcalcification. This paper presents a comparative study in digital mammography image enhancement based on three different algorithms: homomorphic filtering, unsharp masking and our proposed methods. This latter uses a hybrid method Combining conto...

In this paper we present a lossy image coder based in multiscale and directional contourlet transform which allows edge preserving in decompressed images. The preserving task is made by capture the edge points of an image using a robust and efficient edge detector known as Smallest Univalue Segment Assimilating Nucleus (SUSAN). The resulting edges coordinates are used as a priori knowledge of t...