Coprocessor for a graphic workstation: a proposal for line-drawing applications

Giancarlo Cutrignelli; Vincenzo Di Lecce; Andrea Guerriero

doi:10.1117/12.304674

26 March 1998 Coprocessor for a graphic workstation: a proposal for line-drawing applications

Giancarlo Cutrignelli, Vincenzo Di Lecce, Andrea Guerriero

Proceedings Volume 3311, Multimedia Hardware Architectures 1998; (1998) https://doi.org/10.1117/12.304674
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

Resizing techniques are commonly used in graphic applications and window environments to change image size and adapt it to the video resolution. Different algorithms have been proposed to perform image reduction with different effects on the image content. In this paper we present a proposal for a graphic coprocessor, based on TMS320C80, optimized for line drawing low-loss reduction and suitable for VDT presentations. Based on DCT and local thresholding, the algorithm is characterized by fine granularity, task independence and consequently good matching with parallel processing. In the proposed system, the line drawing is spilt into 32*32 pixels windows. In order to perform the image reduction, each window is subject to DCT computation and inverse transformation of the only low-frequency coefficients. The reduced image is thresholded to a value function of the black pixel percentage in the original image and the reduction ratio. The coprocessor is able to reduce an A0 line drawing acquired at 300 dpi in less than 0.2 seconds, by a reduction ratio f 1/32, producing good information preservation in the new image suitable for VDT presentation.

Citation Download Citation

Giancarlo Cutrignelli, Vincenzo Di Lecce, and Andrea Guerriero "Coprocessor for a graphic workstation: a proposal for line-drawing applications", Proc. SPIE 3311, Multimedia Hardware Architectures 1998, (26 March 1998); https://doi.org/10.1117/12.304674

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available