Penentudalaman adalah satu cara untuk menbesarkan gambar. Ia mengutip maklumat daripada gambar and menguna maklumat ini untuk menjangka maklumat lain dalam gambar yang diperbesarkan. Maklumat ini akan mempengaruhi kebezajelasan sesuatu gambar. Gambar yang kebezajelasan rendah menpunyai sedikit maklumat dan gambar yang kebezajelasan tinggi menpunyai banyak maklumat. Dalam projek ini, satu gambar yang kebezajelasan rendah akan dipenentudalaman dengan empat cara penentudalaman. Gambar yang telah penentudalaman akan dituras dengan empat kaedah penapisan. Empat penentudalaman dan empat penapis adalah seperti penentudalaman secara dekatan, dwilelurus, dwikuib, Lanczos, penapis melicin, Gaussian, jelasan dan bertopeng kurang jelas. Gambar selepas penentudalaman dan penapis akan dibanding antara dengan gambar asal dan perbezaan diukur. Berdasar kepada keputusan yang diperolehi, ia menunjuk bahawa peningkatan kadar pembesaran akan mengurangkan kualiti gambar. Dalam pembesaran gambar, keadah penentudalaman perlu ditangani dahulu sebelum keadah penapisan. Ini kerana penentudalaman lebih menpengaruhi kualiti gambar berbanding penapisan. Penentudalaman Dwikuib menghasil 18.5513 untuk nilai MSE dan penapis Gaussian menghasil 17.3515 untuk nilai MSE dan kedua-dua keadah ini menghasil nilai MSE paling rendah banding dengan penentudalaman dan penapisan yang lain.
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Interpolation is a method to enlarge an image. It collects information from an image and uses this information to predict the unknown information in the upgrade size of image. The information in an image will affect the image resolution. Low resolution image has least information or smaller image size, and high resolution image has more information and bigger image size. In this project, a low resolution image is interpolated by four different interpolation methods, and this interpolated image is filtered by four filtering methods. These four interpolation and four filtering methods are nearest neighbor interpolation, bilinear interpolation, bicubic interpolation, Lanczos interpolation, smoothing filter, Gaussian filter, sharpening filter and unsharp masking filter. The final image of each method is compared, and the difference with ground truth image is measured. Based on the results, it shows that magnification ratio is inversely proportional to output image. As magnification ratio increase, the output image quality is decreased. In up sampling an image, interpolation methods should be considered first then only filtering methods. This because interpolation methods affects output result the most rather than filtering methods. Bicubic interpolation gives 18.5513 of MSE value and Gaussian filter gives 17.3515 of MSE value which both are the lowest MSE value among others interpolation and filtering methods for magnification factor of two.
Interpolation is a method to enlarge an image; image resolution.; four interpolation and four filtering methods are nearest neighbor interpolation, bilinear interpolation, bicubic interpolation, Lanczos interpolation, smoothing filter, Gaussian filter, sharpening filter and unsharp masking filter.
Image super resolution using interpolation_Lee Siang Hoe_E3_2009_875004414_00003095225_NI