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All Journal Journal La Multiapp Bigint Computing Journal
Aidilia, Yunda
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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Image Quality Restoration on Historical Artifacts Using Histogram Equalization and Contrast Stretching Methods Aidilia, Yunda; Sriani, Sriani
Journal La Multiapp Vol. 5 No. 4 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i4.1442

Abstract

The aim of this research was to enhance the image quality of historical objects that undergo quality decline such as noise, low contrasting images, and poor sharpness. Contrast stretching and Histogram equalization are two methods of image enhancement which is used to expand and smooth out the grayscale of an image . The purpose of this study is to develop a system for enhancing the quality of images of historical heritage objects applying contrast stretching and histogram equalization techniques. Concerning the selection of the sample in this research, the data is RGB image data with a total of 10 test images in . mat file format and the process employed is in Matlab programming language The stimulation of neuron is in jpg format. The works on the contrast stretching and histogram equalization from the sample 1 to sample 10 image the results were highest on test image_citra_1 with the contrast stretching results on the base of PSNR = 32. DOS, = 61 dB and MSE = 35. 86 Db and PSNR = 19. 13 Db and MSE = 794 . 76 in histogram equalization calculations.
Improving Image Quality in Hero Photos Using Grayscale Images Using the Histogram Equalization Method Sitorus, Rina Afriani; Aidilia, Yunda; Siregar, Yustria Handika
Bigint Computing Journal Vol 1 No 2 (2023)
Publisher : Ali Institute of Reseach and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/bigint.v1i2.780

Abstract

Photos of heroes are one of the important images in history. Today's hero photos have poor image quality because the camera technology that existed in the past was still simple. Due to technological limitations at that time, the current hero photos are still of low quality with the dominant color being gray. This condition results in the information contained sometimes not being received properly. To overcome this problem, it is necessary to improve the image quality of hero photos which are still of low quality. Image quality improvement is one of the image processing operations which aims to perfect the image by manipulating image parameters. This operation is often applied to images that have poor quality so that the quality can be improved. In this research, we will apply image enhancement operations or improve the image quality of hero photos so that the quality can increase. There are many methods that can be used to enhance images, one of which is histogram equalization which has been widely used to enhance images, especially greyscale images. This method is usually done on images using the Matlab application because of its simple use. This research produces new images with better quality than previous images
Co-Authors Sitorus, Rina Afriani Yustria Handika Siregar