Pengujian Metode Kuantitasi Untuk Melakukan Kompresi Citra RGB

At present the use of RGB images is a necessity in various fields. However, its use is constrained by a large file capacity, but it is possible to compress the image that is owned as needed. With the quantization method, the R matrix, the G matrix and the B matrix will be reduced, so that the number of bits used to represent the image will be reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so the compressed image cannot be decompressed again because there is information missing.

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PERANCANGAN DAN IMPLEMENTASI ALGORITMA ELIAS GAMMA CODE UNTUK MENGKOMPRESI RECORD DATABASE PADA APLIKASI RANGKUMAN PENGETAHUAN UMUM LENGKAP

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v3i1.1600 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Hikka Sartika ◽

Taronisokhi Zebua

Keyword(s):

Compression Ratio ◽

General Public ◽

Storage Capacity ◽

Storage Space ◽

File Size ◽

Compression Technique ◽

Code Algorithm ◽

Database File ◽

Large File

Storage space required by an application is one of the problems on smartphones. This problem can result in a waste of storage space because not all smartphones have a very large storage capacity. One application that has a large file size is the RPUL application and this application is widely accessed by students and the general public. Large file size is what often causes this application can not run effectively on smartphones. One solution that can be used to solve this problem is to compress the application file, so that the size of the storage space needed in the smartphone is much smaller. This study describes how the application of the elias gamma code algorithm as one of the compression technique algorithms to compress the RPUL application database file. This is done so that the RPUL application can run effectively on a smartphone after it is installed. Based on trials conducted on 64 bit of text as samples in this research it was found that compression based on the elias gamma code algorithm is able to compress text from a database file with a ratio of compression is 2 bits, compression ratio is 50% with a redundancy is 50%. Keywords: Compression, RPUL, Smartphone, Elias Gamma Code

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A quantization method for haptic data lossy compression

2015 IEEE International Conference on Mechatronics (ICM) ◽

10.1109/icmech.2015.7083960 ◽

2015 ◽

Cited By ~ 3

Author(s):

Tomohiro Nakano ◽

Seiji Uozumi ◽

Rolf Johansson ◽

Kouhei Ohnishi

Keyword(s):

Lossy Compression ◽

Quantization Method

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Implementasi (EFA) Electronic File Archive Sederhana Berbasis Web

Jurnal Sains dan Informatika ◽

10.34128/jsi.v5i1.168 ◽

2019 ◽

Vol 5 (1) ◽

pp. 31-40

Author(s):

Suharmadi Suharmadi ◽

Hendrik Setyo Utomo

Keyword(s):

Black Box ◽

File Size ◽

Local Networks ◽

Electronic File ◽

Large File

The process of filing the Company PT. PLN (Persero) Unit Induk Pembangkitan dan Penyaluran Kalimantan UPDK Barito ULPLTA Ir. P.M. Noor is storing files in the computers of each department. Communication between departments in archiving is done by means of whatapps or other tools, so that it requires a large file size. The purpose of the research is to design an electronic file archive (EFA) that applies to local networks that are connected to all departments. EFA is doing filing electronically and can communicate between users. Testing using the black box throughout the functional application is successful.

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IMPEMENTASI ALGORITMA LEMPEL ZIV STORER SZYMANSKI (LZSS) PADA APLIKASI BACAAN SHALAT BERBASIS ANDROID

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v3i1.1624 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

M. Edo Chandra

Keyword(s):

Implementation Process ◽

Original Text ◽

Storage Space ◽

Text File ◽

File Size ◽

Java Programming ◽

File Storage ◽

Large Size ◽

Storage Area ◽

Large File

Compression is a way to compress or modify data so that the required storage space is smaller and more efficient. In this study, the large file size in the prayer reading application makes the document storage space requires a lot of storage space due to the large file size. Due to the large size of the file that is currently making a large and inefficient file storage area and the larger size of a file makes the smartphone slow due to the file. The purpose of this study is to design an android-based prayer reading application by implementing the Szymanski Ziv Storer Lempel algorithm (LZSS). And designing a compression application using the Java programming language and database used is SQLite The results of the study show that after carrying out the implementation process with the LZSS algorithm on Reading Prayers, the decompression test results are known to be compressed text files that can be compressed and the size of the decompressed text file is the same as the original text file before it is compressed.Keywords: Implementation, compression, algorithm Lempel Ziv Storer Szymanski (LZSS).

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Digital Slide Imaging in Cervicovaginal Cytology: A Pilot Study

Archives of Pathology & Laboratory Medicine ◽

10.5858/arpa.2012-0430-oa ◽

2012 ◽

Vol 137 (5) ◽

pp. 618-624 ◽

Cited By ~ 35

Author(s):

Angela M. Wright ◽

Debora Smith ◽

Bakula Dhurandhar ◽

Todd Fairley ◽

Miriam Scheiber-Pacht ◽

...

Keyword(s):

Diagnostic Accuracy ◽

Digital Images ◽

The United States ◽

Whole Slide Imaging ◽

File Size ◽

Glass Slides ◽

Blinded Study ◽

Large File ◽

Scanned Images ◽

Cytology Screening

Context.—Digital whole slide imaging is the anticipated future of anatomic pathology, where sign-out of glass slides will be replaced by scanned images. Whole slide imaging has been successfully used in surgical pathology, but its usefulness and clinical application have been limited in cytology for several reasons, including lack of availability of z-axis depth focusing and large file size. Recently, several systems have become available in the United States for whole slide imaging with z-axis technology. Objective.—To determine the accuracy and efficiency of whole slide imaging, as compared with traditional glass slides, for use in cervicovaginal diagnostic cytology. Design.—Eleven cervicovaginal cytology cases (ThinPrep and SurePath) scanned at ×20, ×40, and ×40 z-stack magnifications using the BioImagene iScan Coreo Au 3.0 scanner were evaluated by 4 cytotechnologists and 3 pathologists in a blinded study. Different magnification scans were recorded as separate cases and presented in a randomized sequence. Corresponding glass slides were also reviewed. For each case, the diagnoses and total time to reach each diagnosis were recorded. Results.—Diagnostic accuracy was higher and average time per case was lower with glass slides as compared with all digital images. Among the digital images, the ×40 or ×40 z-stack had the highest diagnostic accuracy and lowest interpretation time. Conclusions.—Whole slide imaging is a viable option for the purposes of teaching and consultations, and as a means of archiving cases. However, considering the large file size and total time to reach diagnosis on digital images, whole slide imaging is not yet ready for daily cervicovaginal diagnostic cytology screening use.

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