This paper proposes color image compression method using hybrid wavelet transform and compares it with results obtained using hybrid transform and multi-resolution analysis. Haar wavelet is widely used in image compression. So here Haar transform is selected as base transform and combined with non-sinusoidal transforms like Slant, Walsh and Kekre transform. Hybrid Haar wavelet transforms is gen...

Abstract. This paper presents a novel algorithm for rate-complexity scalable multi-view image coding using an adaptive disparity-compensated (DC) wavelet lifting scheme. First, image regions of multi-view images are prioritized by counting matching points. The proposed algorithm selects either Haar, 5/3, or our proposed multiple picture reference DC wavelet lifting adaptively. The selection cri...

| In this paper, a novel and simple embedded wavelet coder, called a multi-threshold embedded zerotree wavelet coder, is proposed. The well-known embedded ze-rotree wavelet (EZW) coder uses the successive approximation quantization (SAQ) process and zerotree structures of wavelet coeecients. The EZW coder scans iteratively whole wavelet coeecients during the SAQ process, which decreases the cod...

The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. Image fusion is defined as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely Spatial Fusion...

Image fusion is defi ned as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely spatial fusion and transform fusion and three levels namely pixel, feature and region level. In spatial fusion, the pixel values from the source images are direct...

We construct oblique multi-wavelets bases which encompass the orthogonal multi-wavelets and the biorthogonal uni-wavelets of Cohen, Deaubechies and Feauveau. These oblique multi-wavelets preserve the advantages of orthogonal and biorthogonal wavelets and enhance the flexibility of wavelet theory to accommodate a wider variety of wavelet shapes and properties. Moreover, oblique multi-wavelets ca...

With the development of remote sensing technology, fusion of remotely sensed images, such as SPOT panchromatic (SPOT P) with SPOT multispectral images (SPOT XS) or Landsat Thematic Mapper (TM), has become more important in order to obtain richer information in the spatial and spectral domains simultaneously. Many fusion methods have been developed based on the two-band wavelet transformation. H...

In this paper, a multi-focus image fusion method using Spatial Frequency Measurements (SFM) and Wavelet Packet was proposed. The proposed fusion approach, firstly, the two fused images were transformed and decomposed into sixteen subbands using Wavelet packet. Next, each subband was partitioned into subblocks and each block was identified the clearer regions by using the Spatial Frequency Measu...

Motion compensated wavelet (MC-Wavelet) video coding provides high coding efficiency and robustness along with spatio-temporal-SNR-complexity scalability. Such schemes use a multi-resolution motion compensated temporal filtering (MCTF) decomposition along with the spatial wavelet transform to remove video redundancy. These multi-resolution transforms partition the spatiotemporal sequence-volume...