This research focused on the designing and analysis of thermal images with different interpolating techniques and proposed three competitive Filtering algorithms for infrared radiations from the Synoptic top of the atmosphere and surface fluxes & clouds - SYN Ed4A, which is the data product of Clouds & the Earth’s Radiant Energy System (CERES) used for collection of daily ten-year data for infrared radiations. This kind of study carried out first time in Pakistan. This work aims to enhance our comprehension of climate and weather systems, facilitated by the generation and analysis of thermal images capturing infrared radiation from the upper atmosphere. State of the art techniques in Modern technologies for creating and analyzing thermal images of infrared radiation from the upper atmosphere include complex calibration procedures, machine learning algorithms for improved image processing, and modern satellite sensors. This work is an attempt to investigate the quantification of infrared flux using different interpolating techniques and filtering algorithms. We discussed that how we interface MATLAB to data. As well as we also discussed about the generation of thermal maps and thermal images through MATLAB with different interpolating techniques. We will also discussed about filtering techniques for thermal images and proposed three different filtering algorithms. It also analyzed for the characterization of thermal images, which generated from different interpolated transformation and digital filtering techniques. We have used different techniques to devise digital filters and enhance the resolution of thermal images after that recognized and characterized thermal images of infrared radiations. We can use these algorithms for other different purposes based on the regular datasets like Data integration and fusion, Mitigating atmospheric inferences high resolutions image techniques, Long-term data consistency, advanced image processing algorithms etc.