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Hybrid JPEG Compression Using Histogram Based Segmentation

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Author(s): M.Mohamed Sathik | K.Senthamarai Kannan | Y.Jacob Vetha Raj

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 8;
Issue: 8;
Start page: 300;
Date: 2010;
Original page

Keywords: Image Compression | Edge-Detection | Segmentation. Image Transformation | JPEG | Quantization.

ABSTRACT
Image compression is an inevitable solution for image transmission since the channel bandwidth is limited and the demand is for faster transmission. Storage limitation is also forcing to go for image compression as the color resolution and spatial resolutions are increasing according to quality requirements. JPEG compression is a widely used compression technique. JPEG compression method uses linear quantization and threshold values to maintain certain quality in an entire image. The proposed method estimates the vitality of the block of the image and adapts variable quantization and threshold values. This ensures that the vital area of the image is highly preserved than the other areas of the image. This hybrid approach increases the compression ratio and produces a desired high quality output image.
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