One third of the world's population is thought to have been infected with mycobacterium tuberculosis (TB) with new infection occurring at a rate of about one per second. TB typically attacks the lungs. Indication of cavities in upper lobes of lungs shows the high infection. Traditionally, it has been detected manually by physicians. But the automatic technique proposed in this paper focuses on ...

A semi-blind image watermarking scheme embeds a pseudo random sequence in all the high pass DWT coefficients above a given threshold T1. The attacked DWT coefficients are then correlated with the original watermark. For watermark detection, all the coefficients higher than another threshold T2 (>T1) are chosen for correlation with the original watermark. This idea was extended to embed the same...

This paper proposes a robust watermarking technique using wavelets of well-known transforms DCT, Walsh and Haar. HL and LH bands are separately selected for watermark insertion. While inserting watermark, its energy is varied with 40% margin to original energy of region of host selected for insertion of watermark to study effect on robustness. Performance of proposed technique is evaluated agai...

In this work, concept of the fashion-MNIST images classification constructed on convolutional neural networks is discussed. Whereas, 28×28 grayscale 70,000 fashion products from 10 classes, with 7,000 per category, are in dataset. There 60,000 training set and 10,000 evaluation set. The data has been initially pre-processed for resizing reducing noise. Then, normalized ensuring that all same sc...

Saliency detection has drawn a lot of attention of researchers in various fields over the past several years. Saliency is the perceptual quality that makes an object, person to draw the attention of humans at the very sight. Salient object detection in an image has been used centrally in many computational photography and computer vision applications like video compression [1], object recogniti...

Video retargeting aims at transforming an existing video in order to display it appropriately on a target device, often in a lower resolution, such as a mobile phone. To preserve a viewer’s experience, it is desired to keep the important regions in their original aspect ratio, i.e., to maintain them distortionfree. Most previous methods are susceptible to geometric distortions due to the anisot...

Feature plays a very important role in the area of image processing. Before extracting features, image pre-processing technique like resizing is applied on the input image. Then, features are obtained by various feature extraction techniques. These features are then used for classification and recognition of the objects in an image. Features are useful in terms of space utilization, efficiency ...

Cache memories account for a significant fraction of a chip’s overall energy dissipation. Recent research advocates using “resizable” caches to exploit cache requirement variability in applications to reduce cache size and eliminate energy dissipation in the cache’s unused sections with minimal impact on performance. Current proposals for resizable caches fundamentally vary in two design aspect...

Content-aware image resizing (or image retargeting) enables images to be fit to different display devices having different aspect ratios while preserving salient image content. There are many approaches to retargeting, although no “best” method has been agreed upon. Therefore, finding ways to assess the quality of image retargeting has become a prominent challenge. Traditional image quality ass...

A Geodesic Forest is a new representation of digital color images which yields flexible and efficient editing algorithms. In this paper an image is decomposed into a collection of trees (a forest) whose branches follow directions of minimum variation. This representation enables expensive, 2D, edge-aware processing to be cast as efficient one-dimensional operations along the tree branches. Exis...