Hybrid wavelet-based aerial image enhancement using georectification and homomorphic filtering

Autor: Usha Shree Valasani, Padma Priya Kesari, Ramesh Pullagura
Rok vydání: 2021
Předmět:
Zdroj: Arabian Journal of Geosciences. 14
ISSN: 1866-7538
1866-7511
DOI: 10.1007/s12517-021-07551-z
Popis: Many digital photo cameras are used to capture long-range and aerial images, which is very similar to those used to capture photos from spacecraft, drones, and unmanned aerial vehicles (UAV). The probing into global image-enrichment techniques is due to the distinctiveness of image kinds. Usually, there will be a geometric deformation in the data obtained using remote sensing from spacecraft/airplanes because of the acquisition system and platform motion. Whensoever a comparison is made between the image and current maps or other images, there is a need for a geometric correction of the image. The investigation of an instinctive image using the current techniques commonly employ histogram equalization to enrich the images. Completely automatic and non-linear are the unique features of this technique. Nevertheless, this technique encounters specific problems like spikes, extreme optimization, and the absence of contrast protection. The technique proposed here is a wavelet-based enhancement technique that employs georectification to correct deformations and noise and enhance the image using a coiflet-based smoothing function with a stationary wavelet transform wavelet to enhance the lower sub-bands using homomorphic filtering. The proposed scheme is measured against other performance metric schemes such as absolute mean brightness errors, peak signal to noise ratio, structural similarity index, contrast improvement index, brightness enhancement index (BEI), and universal quality index
Databáze: OpenAIRE
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