Color appearance matching in hard-copy and soft-copy images in different office environments

1998 ◽  
Author(s):  
Yoshinobu Shiraiwa ◽  
Yumiko Hidaka ◽  
Toshiyuki Mizuno ◽  
Takashi Sasaki ◽  
Ken-ichi Ohta ◽  
...  
Keyword(s):  
Color Appearance ◽  
Hard Copy ◽  
Soft Copy ◽  
Appearance Matching ◽  
Office Environments

Perancangan Sistem Informasi Manajemen Pemberkasan Skripsi Pada Sekolah Tinggi Ekonomi Syariah Islamic Village

2020 ◽  
Vol 5 (1) ◽  
pp. 76-83
Author(s):  
Pungky Hari Wira Atmaja
Keyword(s):  
Hard Copy ◽  
Soft Copy

Masalah pada sistem berjalan di STES Islamic Village adalah cara mem-filter pengajuan judul yang masih konvensional, kartu catatan bimbingan skripsi merupakan kontrol tunggal untuk memonitor perkembangan penulisan skripsi mahasiswa, dan peran BAK dalam mengelola berkas hard copy dan soft copy skripsi yang belum maksimal. Untuk memecahkan masalah tersebut, penulis melakukan penelitian yang bertujuan untuk membuat aplikasi yang mampu mempercepat proses duplikasi tema atau judul skripsi, mengelola berkas hard copy dan soft copy skripsi dan monitoring perkembangan skripsi mahasiswa. Hasil perancangan dan pembuatan sistem informasi pemberkasan skripsi pada STES Islamic Village dengan basis web dan menggunakan bahasa PHP serta database MySQL,  aplikasi ini menghadirkan kemudahan user untuk mempercepat proses duplikasi tema atau judul skripsi melalui katalog skripsi mahasiswa. Selain itu, aplikasi yang dikembangkan menjadi satu interface ini juga memberikan manfaat dalam rangka mengelola berkas hard copy dan soft copy skripsi yang dilakukan BAK serta aplikasi ini menggantikan fungsi hard copy kartu bimbingan skripsi yang menjadi kontrol tunggal BAK dalam monitoring perkembangan skripsi mahasiswa.

scholarly journals Soft Copy versus Hard Copy Reading in Digital Mammography

2003 ◽  
Vol 16 (4) ◽  
pp. 341-344 ◽  
Author(s):  
Silvia Obenauer ◽  
Klaus-Peter Hermann ◽  
Katharina Marten ◽  
Susanne Luftner-Nagel ◽  
Dorit von Heyden ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Hard Copy ◽  
Soft Copy

Quantitative Models of Image Quality

1983 ◽  
Vol 27 (1) ◽  
pp. 41-45 ◽  
Author(s):  
Robert J. Beaton
Keyword(s):  
Image Quality ◽  
Digital Images ◽  
Quality Measures ◽  
Quality Metrics ◽  
Statistical Analyses ◽  
Hard Copy ◽  
Average Performance ◽  
Modulation Spectrum ◽  
Quantitative Models ◽  
Soft Copy

Fourteen image quality metrics were evaluated for hard-copy and soft-copy displays of digital images degraded by various levels of noise and blur. All quality metrics were formulated to include the displayed modulation spectrum of the image. The statistical analyses suggested that several of the metrics correlated strongly with performance, and, thus, support the proposed utility of image-dependent quality measures. An MTFA-type metric was shown to correlate highest with the average performance scores across noise and blur conditions.

Perceived colour differences in displayed colours Part 1: hard copy to soft copy matching

2002 ◽  
Vol 50 (1) ◽  
pp. 1-9 ◽  
Author(s):  
M R Pointer ◽  
G G Attridge ◽  
R E Jacobson
Keyword(s):  
Hard Copy ◽  
Soft Copy

scholarly journals ARTIFICIAL NEURAL NETWORK BASED CHARACTER RECOGNITION USING BACKPROPAGAT

2012 ◽  
Vol 3 (1) ◽  
pp. 184-187
Author(s):  
Murtaza Abbas Rizvi ◽  
Madhup Shrivastava ◽  
Monika Sahu
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Digital Camera ◽  
Digital Data ◽  
Hard Copy ◽  
General Character ◽  
Written Text ◽  
Optical Character ◽  
Soft Copy ◽  
Reading Text

Optical Character Recognition, or OCR, is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data format. OCR is the translation of optically scanned bitmap of printed or written text character into the character codes, such as ASCII. This is an efficient way to turn hard copy material into digital data files that can be edited or manipulated. The optical character recognition refers to the branch of computer science that involves reading text from paper and translating the images into a form that the computer can manipulate. The potential of this technology is typically used for general character recognition which includes the transformation of anything humanly readable to machine manipulatable representation. OCR systems are enormous because they enable users to harness the power of computers to access printed documents. The aim of this paper is to find a means by which the database entry from handwritten forms can be automated. Firstly the paper deals with the technology scanning hard copy data. Secondly describes machine learning process for training the system for converting hard copy into soft copy

scholarly journals A Study on Color Match between Soft Copy and Corresponding Hard Copy.

1992 ◽  
Vol 46 (6) ◽  
pp. 749-755
Author(s):  
Hiroaki Ikeda ◽  
Masato Abe ◽  
Yasuhiko Higaki ◽  
Yasunari Arafune
Keyword(s):  
Hard Copy ◽  
Color Match ◽  
Soft Copy
Sign in / Sign up

Export Citation Format

Share Document