Wavelet-Based Thermal Image Analysis Methods

Abstract

Image enhancement is primarily aimed at improving the image quality so that the resulting image is better for a particular application than the original image. Improving the image is the job of applying such improvements, such as a visually more attractive image, to the output image. Improvement of thermal images in quality control, color and gray photography, medical problems, research and development, risk management systems, academic, law enforcement and defense infrared digital thermal imaging. Specific changes to the gray image, histogram equalization (HE), rapid Fourier transformation, image fusion and denoise have been used. The process of making images more accessible is to develop pictures. These effects include highlighting the interesting details of the objects, removing noise from photographs, making images more attractive visually, increasing the edge and contrast between images.