A multiple exposure fusion to boost the dynamic vary of an image is proposed. The construction of high dynamic vary images (HDRIs) is performed by combining multiple pictures taken with totally different exposures and estimating the irradiance price for every pixel. This is a common method for HDRI acquisition. During this process, displacements of the photographs caused by object movements typically yield motion blur and ghosting artifacts. To address the problem, this paper presents an economical and accurate multiple exposure fusion technique for the HDRI acquisition. Our methodology simultaneously estimates displacements and occlusion and saturation regions by using maximum a posteriori estimation and constructs motion-blur-free HDRIs. We tend to additionally propose a new weighting theme for the multiple image fusion. We have a tendency to demonstrate that our HDRI acquisition algorithm is accurate, even for pictures with giant motion.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Secure Attribute-Based Signature Scheme With Multiple Authorities for Blockchain in Electronic Health Records Systems ABSTRACT: Institutions, rather than individuals, have complete ownership over electronic health
PROJECT TITLE : A Multi-Organ Nucleus Segmentation Challenge ABSTRACT: The development and validation of visual biomarkers for new digital pathology datasets can considerably benefit from the use of generalised nucleus segmentation
PROJECT TITLE : A New Polyphase Down-Sampling-Based Multiple Description Image Coding ABSTRACT: In the case of error-prone transmissions over several channels, MDC is an efficient source coding approach. This work focuses on the
PROJECT TITLE : Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates ABSTRACT: A common problem in image processing is lossy image compression (LIC), which seeks to use
PROJECT TITLE : Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution ABSTRACT: The single picture super-resolution problem has been extensively investigated with the aid of convolutional

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry