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Abstract:            In this paper, a digital watermarking method is proposed which is based on Contourlet wavelet transform (CT) and Singular Value Decomposition (SVD). In the encryption process, the host image is decomposed into sub-bands using single level of Contourlet wavelet transform and..

 Abstract:           MOBILE devices, including smart phones, are being used by billions of people all around the world. This creates the opportunity to design a wide variety of mobile image applications, Among many imaging applications, healthcare applications have drawn a lot of attentions..

Aim:          Aim of this project is to build a surveillance system for home to identify the presence of human and notify to the owner of house.Abstract:          Internet of Things (IoT) is an emerging technology which is making our world smarter. The dev..

Abstract:               While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the telecommunication industry, it has also introduced a major challenge for researchers, who must develop techniques to reduce the sharp i..

Abstract               SHIP detection in remote-sensing images is important in both civilian and military applications, such as traffic dynamic monitoring, fishery management, security threats uncovering, illegal activities uncovering. the framework is designed to access the fin..

Aim:             The mainstay of the project is to determine the wound boundary on a foot ulcer image. Introduction:             Doctors base their wound assessment primarily on visual examination and manual measurements per..

Abstract:          Brain tumor identification is really challenging task in early stages of life. But now it became advanced with deep-learning. Now a day’s issue of brain tumor automatic identification is of great interest. In Order to detect the brain tumor of a patient we consider the data of pati..

Abstract:           Since texts in traffic signs have precise and rich semantic information related to traffic condition, text-based traffic sign detection plays an important role in the autonomous driving and auxiliary driving of Intelligent Transportation System, just as traffic congestion det..

Aim:             To analyze the Arnold cat map and demonstrating its effectiveness in the image encryption. Synopsis:             With the development in the technology of computer networks, over this network, plenty of secret i..

Aim:            To design and develop Deep Learning Model that enable early and accurate diagnosis of skin lesions, improving the chances of successful treatment.Synopsis:            Given the rising prevalence of skin cancer and the signif..

Abstract          Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..

Aim:            To address the challenges associated with detecting apple plant leaf diseases using deep learning based models.Synopsis:            Plant diseases pose a significant threat to the global agriculture, leading to substantial c..

Aim:            To address the critical issue of detecting tomato leaf diseases in agriculture by leveraging advanced techniques in Deep Learning and Computer VisionSynopsis:          The present work focuses on leveraging the TensorFlow API for the ..

ABSTRACT:            Underwater images usually suffer from degeneration, such as low contrast, color casts, and noise, due to wavelength-dependent light absorption and scattering. The attenuated direct transmission leads the intensity from the scene to be weaker and introduces color casts, ..

Aim:             To design a MATLAB Model for Individual’s Emotion detection through computed EEG using DEAP dataset and making the people to relax by playing music spontaneouslyAbstract:               Emotion plays a..