Neetu Manocha et al., International Journal of Advanced Trends in Computer Science and Engineering, 9(1.3), 2020, 470- 474 470 ABSTRACT With the remarkable development and usage of remote sensing, an extra-ordinary level of visual quality required in the captured satellite images. Satellite image enhancement and quality maintenance are some of the most challenging tasks for the researchers in the field of digital image processing. Due to environmental conditions or inbuilt camera capabilities, a satellite capture and produce an image having blur or other types of noises. The captured images consist of lots of information about the surface of the earth or other planets. But, due to blur or other types of noise, the quality of these images is fallen. Eminent researchers were already proposed several conventional image enhancement techniques to increase the quality of a satellite image. But, after the detailed research, the authors have analyzed that most of the existing techniques do not produce an accurate result. In this context, a new satellite image enhancement technique must be developed for effective visual display. This paper presents a detailed discussion of the proposed satellite image enhancement framework (SIE-EVD) to reduce the blur or noise of an image without losing high-frequency details for the effective visual display by using CBIR. The proposed framework is tested on the dataset of Bhuvan - a national Geo-portal developed and hosted by ISRO (Indian Space Research Organisation). The performance of the proposed framework is evaluated by using accuracy and response time. Key words: Image enhancement, Satellite imagery, Image noise, Color, Blur, Brightness, Sharpness, De-noise, Histogram effect, Histogram graph 1. INTRODUCTION In the present digital society, the remote sensing field shows tremendous growth towards the digital era and has set an important position in the day-to-day life of every person. Satellite imagery data captured by a good quality in-built camera fixed in satellites with supportive technology stacks play a vital role in all many image processing applications which include Oceanography, Bio-diversity conservation, Agriculture and Farming, Landscaping, Fishing, Meteorology, Forestry, Cartography, Intelligence, Regional planning, Military and Security, Education, Weather forecasting, Geology, etc. [1]. This captured satellite imagery contains very sensitive or confidential information related to the surface of the earth or other planets. Due to environment messiness and incompatible setting or dealing of camera used in satellite, a satellite image contains blur or other types of noises [2], which degrades the quality of images Noise in a digital image is a random variation in brightness or color information of an image. Various types of noises affect satellite imagery. These noises include dark current noise, quantization noise, Shot noise, Speckle noise and Amplifier noise [3]. The main reasons behind such type of noises in satellite imagery are:  Disturbance in Environment,  Zooming quality of a focal lens,  Continuous motion of Satellite while capturing the image,  Distance from the target object, and Spreaded Optical deformation. It is very important to enhance these degraded images for a better outcome. Figure 1 shows some blur images captured by satellites. Figure 1: Blurry Satellite Images (source: www.bhuvan.nrsc.gov.in) SIE-EVD: A Novel Satellite Image Enhancement Technique with Quality Metrices for Effective Visual Display using CBIR Neetu Manocha 1 , Rajeev Gupta 2 1 M.M. Institute of Computer Technology & Business Management (MCA) neetu0019@gmail.com 2 Department of Computer Science and Engineering, MMEC rajeev.gupta@mmumullana.org Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India ISSN 2278-3091 Volume 9, No.1.3, 2020 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse7491.32020.pdf https://doi.org/10.30534/ijatcse/2020/7491.32020