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This research was carried out to improve the image quality of historical artifacts that experience quality degradation such as noise, unclear or dark image contrast, and poor sharpness. Contrast Stretching and Histogram Equalization are image quality improvement methods to expand and even out image grayscale. This research aims to build a system for improving image quality on historical artifacts using contrast stretching and histogram equalization methods. The sample used in this research is RGB image data with 10 test images in. jpg format, while the process uses the Matlab programming language. The results of improving image quality using the contrast stretching and histogram equalization methods from sample 1 to image sample 10 showed the best results in test imagecitra₁ with contrast stretching results based on PSNR = 32. 61 dB and MSE = 35. 86 Db and PSNR = 19. 13 Db and MSE = 794. 76 in histogram equalization calculations.
Aidilia et al. (Mon,) studied this question.