Image Restoration on Copper Inscription Using Nonlinear Filtering and Adaptive Threshold

Chairy, Amalia; Suprapto, Yoyon K.; Yuniarno, Eko Mulyanto

doi:10.1088/1742-6596/801/1/012043

Search citation statements

Order By: Relevance

Paper Sections

Select...

Mean Square Error(mse) Dan Peak Signal To Noise Ratio(pnsr)1

Citation Types

Supporting

Mentioning

Contrasting

Unclassified

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Mean Square Error(MSE) adalah rata-rata kuadrat nilai kesalahan antara citra asli dengan citra hasil pengolahan yang secara matematis dapat di rumuskan pada persamaan 4 [14]. Peak Signal to Noise Ratio(PNSR) merupakan nilai perbandingan antara harga maksimum warna pada citra hasil filtering dengan kuantitas gangguan (noise) yang dinyatakan dalam satuan decibel(db) [14].…”

Section: Mean Square Error(mse) Dan Peak Signal To Noise Ratio(pnsr)unclassified

Analisis Perbandingan Metode Harmonic Mean Filter dan Contraharmonic Mean Filter untuk mengurangi noise pada Citra Digital

Chairy,

Arifin,

Insani

2022

jcis

View full text Add to dashboard Cite

The results of digital camera recordings to take digital images, there are often some disturbances that appear in the digital image called noise. The noise that is often found in digital images is Salt-Pepper Noise and Speckle Noise. An image that has noise usually occurs due to an error in image retrieval techniques. Noise that usually appears is spots on the image, it is necessary to reduce noise by using the right filter method so that the resulting image matches the original. One of the filter methods to reduce noise is the harmonic mean-filter and contra-harmonic mean filter methods. From the calculation results of the average Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR), it can be concluded that the Harmonic Mean Filter method is better at reducing salt & pepper noise. While the Contra-Harmonic Mean Filter method is better at reducing speckle noise.

show abstract

Section: Mean Square Error(mse) Dan Peak Signal To Noise Ratio(pnsr)unclassified

Analisis Perbandingan Metode Harmonic Mean Filter dan Contraharmonic Mean Filter untuk mengurangi noise pada Citra Digital

Chairy,

Arifin,

Insani

2022

jcis

View full text Add to dashboard Cite

show abstract

Image Restoration on Copper Inscription Using Nonlinear Filtering and Adaptive Threshold

Cited by 1 publication

References 4 publications

Analisis Perbandingan Metode Harmonic Mean Filter dan Contraharmonic Mean Filter untuk mengurangi noise pada Citra Digital

Analisis Perbandingan Metode Harmonic Mean Filter dan Contraharmonic Mean Filter untuk mengurangi noise pada Citra Digital

Contact Info

Product

Resources

About