HYBRID JPEG COMPRESSION USING COLOR BASED SEGMENTATION

We cannot operate the whole image directly in some applications like image recognition or image compression because it is inefficient method. Therefore, before recognition or compression, many image segmentation algorithms were suggested to segment an image. Image segmentation operation is to rate or cluster an image into many regions depending on the feature of image. A hybrid image compression algorithm is suggested in this paper which segments the image into background and foreground parts and after that compresses the foreground image by using DCT technique. The foreground image is provided more importance than the background region. The color based segmentation method is used to segment image. The observed parameters are compression ratio (CR), mean square error (MSE), and peak signal to noise ratio (PSNR). The goal is to maximize the CR while preserving images' information. The foreground image has a good quality in this the proposed hybrid method.

[1]  C. Hall.  A hybrid image compression technique , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  I. Sebestyen,et al.  The international standardisation of a still picture compression technique , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[3]  P. Bao,et al.  Hybrid image compression model based on subband coding and edge-preserving regularisation , 2000 .

[4]  Waseem Khan,et al.  Image Segmentation Techniques: A Survey , 2014 .

[5]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[6]  Sachin Dhawan,et al.  A Review of Image Compression and Comparison of its Algorithms , 2011 .

[7]  Songcan Chen,et al.  A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation , 2008, IEEE Transactions on Image Processing.

[8]  Hala Mousher Ebied,et al.  Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut , 2014, TheScientificWorldJournal.

[9]  Eckehard G. Steinbach,et al.  RDTC Optimized Compression of Image-Based Scene Representations (Part I): Modeling and Theoretical Analysis , 2008, IEEE Transactions on Image Processing.

[10]  Siddharth Nagar,et al.  Image Compression Using Discrete Cosine Transform , 2008 .

[11]  Zhe-Ming Lu,et al.  Hybrid Image Compression Scheme Based on PVQ and DCTVQ , 2005, IEICE Trans. Inf. Syst..

[12]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[13]  Stephen A. Martucci,et al.  Symmetric convolution and the discrete sine and cosine transforms , 1993, IEEE Trans. Signal Process..

[14]  Mohamed A. El-Dosuky,et al.  Jpeg Image Compression Using Discrete Cosine Transform - A Survey , 2014, ArXiv.

[15]  K. Senthamarai Kannan,et al.  HYBRID JPEG COMPRESSION USING EDGE BASED SEGMENTATION , 2011 .