文章基本信息

标题：Hybrid JPEG Compression Using Edge Based Segmentation
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作者：M. Mohamed Sathik ; K. Senthamarai Kannan ; Y. Jacob Vetha Raj 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：1
页码：165
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A hybrid image compression method is proposed in this paper which segments the image intobackground and foreground and compress them with different quality levels.. The foreground of the imageis given more importance than the background. An edge based segmentation method is used to segment theimage into foreground area and background area. The proposed method highly preserves quality of theforeground image. JPEG compression is a widely used compression technique. Normally the JPEGcompression method uses linear quantization and threshold values to maintain certain quality level in anentire image. The proposed method adapts variable quantization and threshold values corresponding tobackground and foreground. This ensures that the vital area of the image is highly preserved than the otherareas of the image. This hybrid approach increases the compression ratio and produces a desired highquality compressed image.
关键词：Image Compression; Image Transform; Quantization; Edge-Detection and Segmentation.