This paper presents the Discrete Wavelet based fusion techniques for combining perceptually important image features. SPIHT (Set Partitioning in Hierarchical Trees) algorithm is an efficient method for lossy and lossless coding of fused image. This paper presents some modifications on the SPIHT algorithm. It is based on the idea of insignificant correlation of wavelet coefficient among the medi...

AbstractThe Researchers uses Satellite images for their Research work in many fields. The Satellite images have issues with their resolution. So, the images which loses their high frequency contents. And they appeared as blurred image. This paper proposes a resolution enhancement technique called Multi Wavelet Transform (MWT). This technique obtains the interpolation of high frequency sub bands...

Microcalcifications are small densities that appear as bright spots on mammograms. Its detection plays a very important role in breast cancer detection at early stages in digitized mammographic images. This paper presents an approach for computer aided detection of microcalcifications. The main idea of the proposed approach is to apply wavelet analysis followed by a non-linear transformation fu...

Biorthonormal M-band wavelet transform is used to decompose the image into sub-bands for constructing the feature database in content-based image retrieval of 1856 Brodatz texture images. Texture features are obtained by computing the measure of energy, standard deviation and its combination on each band. Results are far superior and impressive than conventional two-band wavelet decomposition. ...

In this paper, we propose a new scheme of dual watermarking by applying discrete wavelet transform and principal component analysis. For the embedding, we identify two best sub bands of wavelet transform by considering the intensity variance of each sub band. Two watermarks are embedded within the selected sub bands with respect to their principal components. Using dual watermark improves robus...

This paper presents a DWT-DCT-SVD based hybrid watermarking method for color images. Robustness is achieved by applying DCT to specific wavelet sub-bands and then factorizing each quadrant of frequency sub-band using singular value decomposition. Watermark is embedded in host image by modifying singular values of host image. Performance of this technique is then compared by replacing DCT by Wal...

The standard separable two dimensional wavelet transform has achieved a great success in image denoising applications due to its sparse representation of images. However it fails to capture efficiently the anisotropic geometric structures like edges and contours in images as they intersect too many wavelet basis functions and lead to a non-sparse representation. In this paper a novel de-noising...

The proposed work describes the algorithms for Image Compression using Transform Coding Methods: Modified Hermite Transform (MHT), Discrete Cosine Transform (DCT) and Wavelet Transform (WT).In MHT and DCT, the given image is divided into NxN subblocks and transformation is applied to each block .Then, a threshold value is selected such that to minimize the mean square value between Original ima...

It is proposed that a new image enhancement scheme using wavelet transform, smooth and sharp approximation of a piecewise non linear filter technique after converting the RGB (Red, Green, and Blue) values of each pixel of the original image to HSV (Hue, Saturation, and Value). Wavelet transform is then applied to the luminance value of V component, it decomposes the input image into the four su...

The Resolution enhancement (RE) schemes (which are not based on wavelets) has one major drawback of losing high frequency contents (which results in blurring). The discrete wavelettransform-based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain approach based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed for RE of...