Skripsi

PERBAIKAN KUALITAS CITRA LOW-LIGHT PADA FETAL ECHOCARDIOGRAPHY MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

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Penilaian

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Images with low contrast (dark) and images that have unclear objects make objects in the image difficult to identify either systemically or by observers. Nowadays, almost everyone has an interest in capturing images every day using various digital devices. The quality and resolution of the captured images are important. When one captures images in low-light conditions, the images often experience low visibility. In addition to reducing the visual aesthetics of the image, this poor quality may also significantly degrade the performance of many computer vision and multimedia algorithms designed for high-quality input. Therefore, good digital devices and lighting are indispensable. For this reason, a program was created that will improve image quality with low-light image data on Fetal Echocardiography images, and use the Convolutional Neural Network (CNN) method to increase visibility on these low-light images.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107004717	T66318	T663182021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T663182021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2021

Collation

xvi, 47 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.407

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Komputer
Metode Convolutional Neural Network (CNN)

Specific Detail Info

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Statement of Responsibility

DS

Other version/related

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