Single image super-resolution via multiple linear mapping anchored neighborhood regression

Hardiansyah, Bagus; Lu, Yao

doi:10.1007/s11042-021-11062-0

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…Analisis ekstraksi fitur merupakan menjadi bagian dari ilmu computer dalam mengolah data untuk pengolahan citra digital, pada penelitian sebelumnya pada penggunaan ekstraksi fitur yaitu pada metode Principal Component Analysis (PCA) yang sangat di manfaatkan untuk mengukur citra pixel pada setiap image yang digunakan untuk topik Super-Resolution [1]. Grey Level Co-occurrence Matrix (GLCM) metode analisis tekstur sangat umum digunakan untuk mendapatkan ekstraksi fitur.…”

Section: Pendahuluanunclassified

Analisis Intensitas Cahaya Lampu Pijar dengan Menerapkan Metode Gray Level Co-occurence Matrik

Hartono¹,

Hardiansyah²

2022

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This paper proposes primary dataset with 13 images thermal capture, 8 high frequency and 4 low frequency. We utilize thermal images fluorescent lamp and using image processing with extraction feature GLCM method. Furthermore, Contrast, Correlation. Energy, Homogeinity dan sudut 0°, 45°, 90°, 135°, these feature texture using for calculated validation compare with both exsperiment qualitative results in Table1 and Table2. Therefore, exsperiment with fluorescent lamp Figure 2 quantitative results significant in Table1. Quantitative results with fluorescent lamp in Table2 extraction feature GLCM method with angle 0°, 45°, 90°, 135° and in Table1 quantitaive result with low frequency 50 Hz with T (oC) 50 is significantly robust. Comparable quantitative results in Table2 with low frequency 50 Hz from extraction feature mean value angle 0°, 45°, 90°, 135° Contrast (0.0363), Correlation (0.9959), Energy (0.1353), and Homogeneity (0.9832).

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Section: Pendahuluanunclassified

Analisis Intensitas Cahaya Lampu Pijar dengan Menerapkan Metode Gray Level Co-occurence Matrik

Hartono¹,

Hardiansyah²

2022

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Image Interpolation Algorithm Based on Texture Complexity and Gradient Optimization

Wang

2023

Lecture Notes on Data Engineering and Communications Technologies

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Texture Pattern-based Bi-directional Projections for Medical Image Super-resolution

Zhou,

Zheng,

Sun

2023

Mobile Netw Appl

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Single image super-resolution via multiple linear mapping anchored neighborhood regression

Cited by 5 publications

References 41 publications

Analisis Intensitas Cahaya Lampu Pijar dengan Menerapkan Metode Gray Level Co-occurence Matrik

Analisis Intensitas Cahaya Lampu Pijar dengan Menerapkan Metode Gray Level Co-occurence Matrik

Image Interpolation Algorithm Based on Texture Complexity and Gradient Optimization

Texture Pattern-based Bi-directional Projections for Medical Image Super-resolution

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