Simplified DCT based segmentation with efficient coding of computer screen images

  • Authors:
  • S. Ebenezer Juliet;D. Jemi Florinabel;V. Sadasivam

  • Affiliations:
  • Manonmanium Sundaranar University, Tirunellveli, India;Manonmanium Sundaranar University, Tirunellveli, India;Manonmanium Sundaranar University, Tirunellveli, India

  • Venue:
  • Proceedings of the First International Conference on Internet Multimedia Computing and Service
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a novel single pass block classification algorithm for efficient coding of computer screen images which consists of multimedia elements like text, graphics and natural images. The objective is to minimize the loss of visual quality of text during compression by separating text information which needs high special resolution than the pictures and background. It segments computer screen images into text/graphics and picture/background classes, which consider distribution patterns of DCT coefficients in each 8x8 block, and then compresses the text/graphics pixels with lossless Huffman algorithm and the picture/background pixels with the lossy JPEG. DCT based segmentation approach of our algorithm leads to simple and fast classification and suite for JPEG compression of picture/background blocks. Experimental results show that the proposed method improves the PSNR value significantly than standard JPEG, JPEG-2000 and DjVu while keeping competitive compression ratios.