Jurnal Teknologi Informasi dan Multimedia
Vol. 8 No. 3 (2026): August

Analisis Komparatif Metode Interpolasi Bicubic dan Lanczos4 Untuk Peningkatan Resolusi Citra Plat Nomor Kendaraan pada CCTV Publik Kota Yogyakarta

Rifai Ahmad Musthofa (Program Studi Teknologi Informasi, Universitas Amikom Yogyakarta, Indonesia)
Imam Ainudin Pirmansah (Program Studi Teknologi Informasi, Universitas Amikom Yogyakarta, Indonesia)
Dhimas Adi Satria (Program Studi Teknologi Informasi, Universitas Amikom Yogyakarta, Indonesia)



Article Info

Publish Date
18 Aug 2026

Abstract

Public CCTV image quality in Yogyakarta's tourism areas often suffers from low resolution, complicating automatic vehicle license plate identification. This study contributes an empirical comparative evaluation of classic interpolation methods (Bicubic Interpolation and Lanczos4 In-terpolation) applied to real-world public CCTV traffic scenarios. High-Resolution (HR) reference images were downsampled by 4x to simulate low-resolution (LR) CCTV footage, then upscaled back using both methods. Performance was quantitatively measured using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM). Experimental results on 10 sample images show that Bicubic Interpolation achieves a slightly higher average performance (PSNR 19.47 dB and SSIM 0.5325) compared to Lanczos4 (PSNR 19.25 dB and SSIM 0.5128). However, qualitative visual analysis confirms that Lanczos4 produces sharper character edges. Nevertheless, as this qualitative enhancement has not been quantitatively validated through Optical Character Recognition (OCR) testing or statistical analysis, these conventional interpolation methods serve pri-marily as preliminary preprocessing steps for potential integration into automatic recognition systems.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...