Skripsi

ANALISIS KINERJA KOMPRESI CITRA DIGITAL DENGAN KOMPARASI DCT DAN DWT

---

Penilaian

---

Digital images that have a large size require large storage. One way to reduce the size of the image is by compression. Compression is the process of minimizing the size of an image to produce a denser or lighter digital representation. In this study using the DCT and DWT Algorithms. The research data are as many as 5 objects, namely animals, clouds, flowers, nature and people. Image data formats are JPG, JPEG and PNG. The highest value of the compression ratio (CR) is obtained for natural objects, namely 46.92%. The lowest mean square error (MSE) value was obtained for cloud objects, namely 2.45 dB. the highest peak signal to noise ratio (PSNR) value was obtained on cloud objects with a value of 45.22 dB. Based on the average results for each image format, the DWT algorithm has the best average digital image compression results than the DCT algorithm and the average values for each test are CR 57.53%, MSE 3.32db and PSNR 43.57dB.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003423	T87041	T870412023	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

2307003423

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 64 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

004.110 7

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Digital
Jurusan Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

FIRA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment