A novel descriptor is designed and developed for extracting the features from large databases. The descriptor is known as LMeMECoP that is local mesh maximum edge co-occurrence patterns. Information of local maximum edge is collected between the possible neighbors for provided centre pixel that is the reference pixel. The maximum edge collection is in the form of mesh intended for reference pix...

Applying vector quantization (VQ) to an image delivers an index map. Dividing this index map into blocks results in each block using a limited number of codeword indices of the whole codebook (CB) while the rest of indices are unused. The proposed method exploits the unused indices to embed the watermark bits. The proposed watermark gives a high peak signal to noise ratio (PSNR) while keeping b...

We propose a fast pairwise nearest neighbor (PNN)based O(N log N) time algorithm for multilevel nonparametric thresholding, where N denotes the size of the image histogram. The proposed PNN-based multilevel thresholding algorithm is considerably faster than optimal thresholding. On a set of 8 to 16 bits-per-pixel real images, experimental results also reveal that the proposed method provides be...

In this paper robust image authentication integrated with semi-fragile pixel-wise tamper localization is analyzed. A new pixel-wise transformation robust to blurring/sharpening while fragile to all other image processing operations is proposed. A new method featuring binary and percentage measures with novel ability to integrate human opinion for image authenticity evaluation is presented. Prot...

In this paper, description of a compression algorithm based on steganography has been narrated. The compression algorithm has been used to develop an application which will help the users to hide large size text documents inside small size images. Maximum bits to be hidden per pixel can be increased to eight with the help of the developed compression application. After hiding the data inside an...

This paper attempts to give a recipe for selecting one of the popular image compression algorithms based on (a) Wavelet, (b) JPEG/DCT, (c) VQ, and (d) Fractal approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing grayscale images, give an experimental comparison on four 256×256 commonly used images, Jet, Lenna, Mandrill, Peppers, and one 400×400 ...

R.Sumalatha, M.V.Subramanyam Abstract— In this paper we propose an efficient region of interest (ROI) coding technique based on multiwavelet transform, set partitioning in hierarchial (SPIHT) algorithm of medical images. This new method reduces the importance of background coefficients in the ROI code block without compromising algorithm complexity. By using this coding method the compressed bi...

In this paper we have proposed three and two stage still gray scale image compressor based on BTC. In our schemes, we have employed a combination of four techniques to reduce the bit rate. They are quad tree segmentation, bit plane omission, bit plane coding using 32 visual patterns and interpolative bit plane coding. The experimental results show that the proposed schemes achieve an average bi...

A video-rate stereo machine has been developed at CMU with the capability of generating a dense range map, aligned with an intensity image, at the video rate. The target performance of the CMU video-rate stereo machine is: 1) multi image input of 6 cameras; 2) high throughput of 30 million point×disparity measurement per second; 3) high frame rate of 30 frame/sec; 4) a dense depth map of 256 × ...

DNA microarrays have become a tool of paramount importance in the study of gene function, regulation, and interaction across large numbers of genes, and even entire genomes (Hegde et al., 2000; Moore, 2001). Microarray experiments generate pairs of 16 bits per pixel grayscale images (see Fig. 1, for an example). These images, which may require several tens of megabytes in order to be stored or ...