Deep Learning-Based Picture-Wise Just Noticeable Distortion Prediction Model for Image Compression


Having a good eye for a picture An Image Processing technique known as Just Noticeable Difference, or PW-JND, is commonly employed in perception-oriented image and video processing. Conventional JND models, on the other hand, calculate each pixel or sub-JND band's threshold individually, which may not adequately reflect the whole masking impact of a picture. Deep Learning-based PW-JND prediction model for image compression is proposed in this paper. Prior to discussing the framework, we define PW-JND as a multiclass classification issue, and offer a method to transform the multi-class classification problem into a binary classifier-solved classifier problem. Perceptually lossy/lossless predictor is a Deep Learning-based binary classifier that can tell if a picture is perceptually lossy or not. Sliding window search approach is proposed for predicting PW-JND using the perceptually lossy/lossless predictor's prediction findings. An average of 0.79 dB of absolute prediction error was found in the suggested PW-JND model, which shows that it is superior to traditional JND models in terms of perceptually lossy/lossless prediction accuracy.

Did you like this research project?

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

PROJECT TITLE : Network Resource Allocation for Users With Multiple Connections Fairness and Stability - 2014 ABSTRACT: This paper studies network resource allocation between users that manage multiple connections, possibly
PROJECT TITLE : Multi-Core Embedded Wireless Sensor Networks Architecture and Applications - 2014 ABSTRACT: Technological advancements in the silicon industry, as predicted by Moore's law, have enabled integration of billions
PROJECT TITLE : Multicast Capacity in MANET with Infrastructure Support - 2014 ABSTRACT: We study the multicast capacity under a network model featuring both node's mobility and infrastructure support. Combinations between
PROJECT TITLE : Joint Topology-Transparent Scheduling and QoS Routing in Ad Hoc Networks - 2014 ABSTRACT: This paper considers the problem of joint topologytransparent scheduling (TTS) and quality-of-service (QoS) routing in
PROJECT TITLE : Joint Routing and Resource Allocation for Delay Minimization in Cognitive Radio Based Mesh Networks - 2014 ABSTRACT: This paper studies the joint design of routing and resource allocation algorithms in cognitive

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

Project Enquiry