Graph-based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images


The lossy compression of JPEG images results in images with low contrast and coarse quantization artefacts in low-light situations. Compression artefacts would amplify if dequantization and contrast augmentation were performed sequentially, resulting in poor visual quality. A graph Signal Processing (GSP) framework can be used to dequantize and improve these images at the same time, taking advantage of recent advances in GSP. This is done by defining a generalised smoothness prior and a signed graph smoothness prior for each observed pixel patch based on their unique signal characteristics in the context of Retinex theory. Low-pass filtering in the dual graph domain is used to compute robust edge weights for each graph given only a transform-coded picture patch. APG techniques are used to compute the illumination and reflectance components for each patch, using backtracking line search for even more speedup in the transform domain. It is clear from the experimental results that our generated photos outperform the current state of the art significantly in terms of quality assessment.

Did you like this research project?

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

PROJECT TITLE : Joint Transceiver Beamforming Design for Hybrid Full-Duplex and Half-Duplex Ad-Hoc Networks ABSTRACT: In this paper, we propose a joint transceiver beamforming design method for hybrid full-duplex (FD) and half-duplex
PROJECT TITLE : Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers ABSTRACT: The use of mapreduce frameworks to analyze ever-increasing volumes of data is expected to continue increasing
PROJECT TITLE : Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing ABSTRACT: The process of augmenting the computational capabilities of mobile devices with limited resources by offloading computation
PROJECT TITLE : Message-Passing-Based Joint User Association and Time Allocation for Wireless Powered Communication Networks ABSTRACT: A joint design of user association and time allocation for wirelessly powered communication
PROJECT TITLE : Joint detection and matching of feature points in multimodal images ABSTRACT: In this work, we propose a novel architecture for Convolutional Neural Networks (CNNs) for the joint detection and matching of feature

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

Project Enquiry