Steganography Using Reversible Texture Synthesis

Steganography Using Reversible Texture Synthesis Steganography Using Reversible Texture Synthesis We propose a novel approach for stenography using a reversible texture synthesis. A texture synthesis process re-samples a smaller texture image which synthesizers a new texture image with a similar local appearance and arbitrary size. We weave the texture synthesis process … Continue Reading →

SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver from Cascaded Linear Regression

SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver from Cascaded Linear Regression.Example learning based image super-resolution techniques estimate a high-resolution image from a low-resolution input image by relying on high- and low-resolution image pairs. An important issue for these techniques is how to model the relationship between high- and … Continue Reading →

Real-time video stabilization without phantom movements for micro aerial vehicles

Real-time video stabilization without phantom movements for micro aerial vehicles. Real-time video stabilization without phantom movements for micro aerial vehicles In recent times, micro aerial vehicles (MAVs) are becoming popular for several applications as rescue, surveillance, mapping, etc. Undesired motion between consecutive frames is a problem in a video recorded … Continue Reading →

Combining Multiple-Instance Learning and Active Learning Computer Aided Detection Tuberculosis

Combining Multiple-Instance Learning and Active Learning  Computer Aided Detection Tuberculosis.CHEST radiography is a widely utilized tool in pulmonary tuberculosis (TB) detection. For this purpose, a posterior anterior chest radiography (CXR) is obtained and examined for abnormalities such as capacities, consolidation, etc., which are suggestive of active disease. According to several … Continue Reading →

Red Lesion Detection using Dynamic Shape Features for Diabetic Retinopathy Screening

Red Lesion Detection using Dynamic Shape Features for Diabetic Retinopathy Screening Red Lesion Detection using Dynamic Shape Features for Diabetic Retinopathy Screening.These features represent the evolution of the shape during image flooding and allow to discriminate between lesions and vessel segments.It proves to be robust with respect to variability in … Continue Reading →

Combining Multiple Instance Learning and Active Learning Computer Aided Detection Tuberculosis

Combining Multiple-Instance Learning and Active Learning  Computer Aided Detection Tuberculosis Combining Multiple-Instance Learning and Active Learning  Computer Aided Detection Tuberculosis.CHEST radiography is a widely utilized tool in pulmonary tuberculosis (TB) detection. For this purpose, a posterior anterior chest radiograph (CXR) is obtained and examined for abnormalities such as opacities, consolidation, … Continue Reading →

Multiple Sensor Fusion Classification for Moving Object Detection Tracking

Multiple Sensor Fusion Classification for Moving Object Detection Tracking Multiple Sensor Fusion Classification for Moving Object Detection Tracking  ROBOTICS is the science of perceiving, understanding and manipulating the physical world through computer-controlled devices. Some examples of robotic systems in use include mobile platforms for planetary exploration. robotic arms used for … Continue Reading →