Work place: Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India
E-mail: av21lko@gmail.com
Website:
Research Interests: Medical Informatics, Computer systems and computational processes, Image Compression, Medical Image Computing, Data Structures and Algorithms
Biography
Ankita Vaish, received the Masters (M.C.A.) degree in computer science in 2013 from Babasaheb Bhimrao Ambedkar University, Lucknow, India and pursuing Ph. D. in the field of Image Compression from Babasaheb Bhimrao Ambedkar University, Lucknow, India. Her research interest includes Image Compression, Data Encryption and Medical Imaging.
DOI: https://doi.org/10.5815/ijmecs.2016.04.01, Pub. Date: 8 Apr. 2016
This paper presents an effective compression technique for lossy compression of color images. After reducing the correlation among R, G and B planes using YCoCg-R transform, the Integer Wavelet Transform (IWT) is applied on each of the transformed planes independently up to a desired level. IWT decomposes the input image into an approximation and several detail subbands. Approximation subband is compressed losslessly using prediction errors and Huffman coding, while each of the detail subbands are compressed independently using an effective quantization and Huffman coding. To show the effectiveness of proposed scheme, it is compared with several existing schemes and a state of art for image compression JPEG2000 and it is observed that the proposed scheme outperforms over the existing techniques and JPEG2000 with less degradation in the quality of reconstructed images while achieving high compression performance.
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