Image Optimization and Prediction
Shweta Jain, Urmila Shrawankar

TL;DR
This paper discusses the importance of image processing, optimization, and prediction across various fields, aiming to identify a universal technique for image analysis and prediction.
Contribution
It proposes a focus on developing a global technique for image analysis and prediction, integrating query optimization, image processing, and prediction methods.
Findings
Highlighting the need for a universal image analysis technique
Review of existing techniques in image processing and prediction
Emphasis on the potential of integrated approaches
Abstract
Image Processing, Optimization and Prediction of an Image play a key role in Computer Science. Image processing provides a way to analyze and identify an image .Many areas like medical image processing, Satellite images, natural images and artificial images requires lots of analysis and research on optimization. In Image Optimization and Prediction we are combining the features of Query Optimization, Image Processing and Prediction . Image optimization is used in Pattern analysis, object recognition, in medical Image processing to predict the type of diseases, in satellite images for predicting weather forecast, availability of water or mineral etc. Image Processing, Optimization and analysis is a wide open area for research .Lots of research has been conducted in the area of Image analysis and many techniques are available for image analysis but, a single technique is not yet…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage Retrieval and Classification Techniques · Advanced Image and Video Retrieval Techniques · Medical Image Segmentation Techniques
