scholarly journals PENERAPAN ALGORITMA EVEN-RODEH PADA APLIKASI KOMPRESI FILE GAMBAR

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Agus Adi Pramadi ◽  
Surya Darma Nasution ◽  
Bister Purba
Keyword(s):  
Image Data ◽  
Memory Storage ◽  
Storage Allocation ◽  
Compression Technique ◽  
Image File ◽  
Storage Media ◽  
File Allocation ◽  
Code Algorithm ◽  
Speed Up ◽  
Data Files

Some image files are very large in size. So it requires a large memory storage capacity too, this is certainly a lot of costs that must be spent on the storage media. With the existence of a very large image file size in the process of sending image data files can fail because the storage media exceeds the maximum limit. The above problems can be overcome by performing the process of compressing large image files into small sizes or can reduce the bit size contained in each image file thereby saving storage containers and simplifying the process of transferring image files to other storage media. The solution to this problem is how the image file can be compressed in order to speed up the transfer and storage of image files. Image file compression aims to reduce or reduce the size of the file but does not eliminate the information data in it. With the compression technique, the data was initially large so that the size of the data can be reduced so as to save storage allocation space. In this study using the Even-Rodeh Code algorithm, using the method results in very good compression in tramisi data and transfer of image file allocation easier and faster.Keywords: Image File Compression, Event Rode Code Algorithm

Pencarian File Gambar Berdasarkan Dominasi Warna

2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Vina Chovan Epifania ◽  
Eko Sediyono
Keyword(s):  
Digital Image ◽  
Retrieval System ◽  
Color Image ◽  
Color Space ◽  
Image Data ◽  
Image Search ◽  
Test Results ◽  
Application Form ◽  
Space Model ◽  
Image File

Abstract. Image File Searching Based on Color Domination. One characteristic of an image that can be used in image searching process is the composition of the colors. Color is a trait that is easily seen by man in the picture. The use of color as a searching parameter can provide a solution in an easier searching for images stored in computer memory. Color images have RGB values that can be computed and converted into HSL color space model. Use of HSL images model is very easy because it can be calculated using a percent, so that in each pixel of the image can be grouped and named, this can give a dominant values of the colors contained in one image. By obtaining these values, the image search can be done quickly just by using these values to a retrieval system image file. This article discusses the use of the HSL color space model to facilitate the searching for a digital image in the digital image data warehouse. From the test results of the application form, a searching is faster by using the colors specified by the user. Obstacles encountered were still searching with a choice of 15 basic colors available, with a limit of 33% dominance of the color image search was not found. This is due to the dominant color in each image has the most dominant value below 33%.   Keywords: RGB, HSL, image searching Abstrak. Salah satu ciri gambar yang dapat dipergunakan dalam proses pencarian gambar adalah komposisi warna. Warna adalah ciri yang mudah dilihat oleh manusia dalam citra gambar. Penggunaan warna sebagai parameter pencarian dapat memberikan solusi dalam memudahkan pencarian gambar yang tersimpan dalam memori komputer. Warna gambar memiliki nilai RGB yang dapat dihitung dan dikonversi ke dalam model HSL color space. Penggunaan model gambar HSL sangat mudah karena dapat dihitung dengan menggunakan persen, sehingga dalam setiap piksel gambar dapat dikelompokan dan diberi nama, hal ini dapat memberikan suatu nilai dominan dari warna yang terdapat dalam satu gambar. Dengan diperolehnya nilai tersebut, pencarian gambar dapat dilakukan dengan cepat hanya dengan menggunakan nilai tersebut pada sistem pencarian file gambar. Artikel ini membahas tentang penggunaan model HSL color space untuk mempermudah pencarian suatu gambar digital didalam gudang data gambar digital. Dari hasil uji aplikasi yang sudah dibuat, diperoleh pencarian yang lebih cepat dengan menggunakan pilihan warna yang ditentukan sendiri oleh pengguna. Kendala yang masih dijumpai adalah pencarian dengan pilihan 15 warna dasar yang tersedia, dengan batas dominasi warna 33% tidak ditemukan gambar yang dicari. Hal ini disebabkan warna dominan disetiap gambar kebanyakan memiliki nilai dominan di bawah 33%. Kata Kunci: RGB, HSL, pencarian gambar

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

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

scholarly journals Design and Development of a Very Large Scale Integrated Circuit Architecture for a Digital Image Compression and Realization on Field Programmable Gate Array

2020 ◽  
Vol 9 (3) ◽  
pp. 3510-3516
Keyword(s):  
Image Compression ◽  
Compression Ratio ◽  
Integrated Circuit ◽  
Large Scale ◽  
Image Data ◽  
High Compression Ratio ◽  
Compression Technique ◽  
Research Challenges ◽  
High Compression ◽  
Image Pixels

The domain of image signal processing, image compression is the significant technique, which is mainly invented to reduce the redundancy of image data in order to able to transmit the image pixels with high quality resolution. The standard image compression techniques like losseless and lossy compression technique generates high compression ratio image with efficient storage and transmission requirement respectively. There are many image compression technique are available for example JPEG, DWT and DCT based compression algorithms which provides effective results in terms of high compression ratio with clear quality image transformation. But they have more computational complexities in terms of processing, encoding, energy consumption and hardware design. Thus, bringing out these challenges, the proposed paper considers the most prominent research papers and discuses FPGA architecture design and future scope in the state of art of image compression technique. The primary aim to investigate the research challenges toward VLSI designing and image compression. The core section of the proposed study includes three folds viz standard architecture designs, related work and open research challenges in the domain of image compression.

An intelligent computational framework for the definition and identification of the womenswear silhouettes

2019 ◽  
Vol 31 (2) ◽  
pp. 158-180
Author(s):  
Bailu Fu ◽  
Xiaogang Liu
Keyword(s):  
Design Methodology ◽  
Image Data ◽  
Identification Procedure ◽  
Computational Framework ◽  
Content Type ◽  
The Past ◽  
Computer Technologies ◽  
Data Files ◽  
Viable Approach ◽  
Classification Procedures

Purpose The current studies on the clothing silhouette are very limited. The purpose of this paper is to propose an innovative framework to intelligently identify the womenswear silhouette with the latest computer technologies. To clearly define the womenswear silhouette, an accurate numerical definition is proposed. Design/methodology/approach The study first processes and segments the useful parts on the static catwalk image data files following existing graphic extraction approaches. Six basic alphabetical womenswear silhouette types are selected and numerically defined. Then, the proposed framework automatically classifies the six basic womenswear silhouettes considering the different slopes between three main clothing parts. Six clothing situations are discovered according to different designs and the detailed cases are systematically categorized. In addition, aspects influencing the judgment of the clothing silhouettes such as the skin, the background, the drastic change points are also considered. The proposed silhouette definition and identification framework is novel and proved accurate. Findings The proposed definition and identification framework of womenswear silhouettes have been proved a viable approach that is fully compatible with the current computer technologies. The validation study shows that the presented identification procedure has a desirable accuracy over 90 percent. Originality/value The proposed methodology develops brand new standards to numerically define and identify the womenswear silhouette, which was not available in the past. Besides, the measurement, the identification and the classification procedures are fully validated by the image data collected from 14 world famous brands over 11 consecutive seasons. It is shown that the proposed numerical framework of the womenswear silhouettes is a robust one, considering all of the observed design variabilities.

JCAMP-DX for Mass Spectrometry

1994 ◽  
Vol 48 (12) ◽  
pp. 1545-1552 ◽  
Author(s):  
Peter Lampen ◽  
Heinrich Hillig ◽  
Antony N. Davies ◽  
Michael Linscheid
Keyword(s):  
Mass Spectrometry ◽  
Data Exchange ◽  
Chemical Structure ◽  
Data Transfer ◽  
Standard Form ◽  
Resonance Spectroscopy ◽  
Storage Media ◽  
Infrared Spectral ◽  
Data Files ◽  
And Storage

JCAMP-DX has, for several years, been the standard form for the exchange of infrared spectral data. More recently JCAMP-DX protocols have been published for chemical structure data and for nuclear magnetic resonance spectroscopy. This publication presents a new JCAMP-DX data exchange protocol for mass spectrometry, covering the transport of single spectra, spectral series, and raw data files. The protocol can be implemented on any computer system and storage media. It is completely manufacturer independent. As with previous publications in this series, the aim is to provide reliable data transfer without loss of information regardless of the hardware or software involved. A comparison to the work on a binary protocol currently being carried out by the Analytical Instrument Association is also presented.

scholarly journals Deteksi Duplikasi Metadata File pada Media Penyimpanan menggunakan Metode Latent Semantic Analysis

2020 ◽  
Vol 5 (1) ◽  
pp. 119
Author(s):  
Erlin Erlin ◽  
Boby Hasbul Fikri ◽  
Susanti Susanti ◽  
Triyani Arita Fitri
Keyword(s):  
Data Storage ◽  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Relevant Information ◽  
Analysis Method ◽  
Storage Media ◽  
Digital Identification ◽  
Metadata File ◽  
Media Space ◽  
Data Files

Metadata files help user find relevant information, provides digital identification, archives and conserves stored files so that they are easily found and reused. The large number of data files on the storage media often makes the user unaware of the duplication and redundancy of the files that have an impact on the waste of storage media space, affecting the speed of a computer in the indexing process, finding or backing up data. This study employ the Latent Semantic Analysis method to detect file duplication and analyze the metadata of various file types in storage media. The findings showed that Latent Semantic Analysis method is able to detect duplicate file metadata in various types of storage media thereby further increasing the usability and speed of access of the data storage media.

scholarly journals INSERTING MESSAGE SECRET ON FILE DATA BANK USING STEGANOGRAPHY ENGINEERING WITH EOF (END OF FILE) METHOD

2020 ◽  
Vol 2 (4) ◽  
pp. 193-200
Author(s):  
Michael Sitorus ◽  
Deki Satria
Keyword(s):  
Digital Image ◽  
Image Data ◽  
Data Bank ◽  
Security System ◽  
Secret Message ◽  
Naked Eye ◽  
Customer Information ◽  
Secure Information ◽  
Data Files

Exchanging information does not realize that is important information. Circulates often important information insignificant but such as account bank customer information. The threat of security to information such as interruption, interception, modification, and fabrication. Thefts of information data by irresponsible parties. This research aims to secure information data in the form file digital image to be inserted with a secret message on building application for a secret message security system in the Bank with applying steganography using the End Of File (EOF) method. Steganography application capable of inserting secret messages in digital image data files. The results of the research are able to keep the existence of the message hidden. When other people receive image files, they can only see the images with the naked eye. So all messages are invisible and will not be read for hackers or other people before knowing the security side and open of password or reading the secret message.

scholarly journals IMPLEMENTASI ALGORITMA SUBEXPONENTIAL CODE UNTUK KOMPRESI FILE GAMBAR

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Amir Maniur Silitonga ◽  
Surya Darma Nasution ◽  
Putri Ramadhani
Keyword(s):  
Transfer Process ◽  
Storage Space ◽  
File Size ◽  
K Value ◽  
Image File ◽  
Code Algorithm ◽  
And Storage

Image file size is sometimes relatively large where the better the quality of the image produced, the pixel shape needed to record the image is bigger. With a very large image file size, at the time of the transfer process the transfer process could fail because the storage space media exceeds its limit. As for the Solution in this problem is how the image file can be compressed in order to accelerate the transfer and storage of image files. compression on image files is done by reducing the shape of the image file by reducing the bit in the image file, but does not eliminate the information data in it. By running compression, large files will shrink in size so that it can save storage space. In this study, the algorithm used is Subexponential Code, by using this method, the compression results from the k value have different results from each value, and the compression results will be advantageous in sending, and transferring image files will be easier.Keywords: image file compression, subexponential code algorithm

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