Simplified DCT based segmentation with efficient coding of computer screen images
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Real-time screen image scaling and its GPU acceleration
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Compress compound images in H.264/MPGE-4 AVC by exploiting spatial correlation
IEEE Transactions on Image Processing
An efficient block classification for multimedia service in mobile cloud computing
Proceedings of the 1st ACM multimedia international workshop on Cloud-based multimedia applications and services for e-health
Efficient and robust large medical image retrieval in mobile cloud computing environment
Information Sciences: an International Journal
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We present a compound image compression algorithm for real-time applications of computer screen image transmission. It is called shape primitive extraction and coding (SPEC). Real-time image transmission requires that the compression algorithm should not only achieve high compression ratio, but also have low complexity and provide excellent visual quality. SPEC first segments a compound image into text/graphics pixels and pictorial pixels, and then compresses the text/graphics pixels with a new lossless coding algorithm and the pictorial pixels with the standard lossy JPEG, respectively. The segmentation first classifies image blocks into picture and text/graphics blocks by thresholding the number of colors of each block, then extracts shape primitives of text/graphics from picture blocks. Dynamic color palette that tracks recent text/graphics colors is used to separate small shape primitives of text/graphics from pictorial pixels. Shape primitives are also extracted from text/graphics blocks. All shape primitives from both block types are losslessly compressed by using a combined shape-based and palette-based coding algorithm. Then, the losslessly coded bitstream is fed into a LZW coder. Experimental results show that the SPEC has very low complexity and provides visually lossless quality while keeping competitive compression ratios.