Image Quality Improvements Using Quantization Matrices of Standard Digital Cameras in DCT Based Compressor

In the field of image compression, loads of scope exist for research. This work facilitates the platform to investigate and divulge the evidence of usage of vector quantization process in unique, prominent and renowned digital cameras of the present day. The work encompasses discrete cosine transfor...

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Bibliographic Details
Published in:Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2019-10, Vol.100 (5), p.447-459
Main Authors: Dixit, Mahendra M., Vijaya, C.
Format: Article
Language:English
Subjects:
Algorithms
Communications Engineering
Digital cameras
Digital imaging
Discrete cosine transform
Engineering
Image compression
Image quality
Networks
Original Contribution
Qualitative analysis
Ultrafines
Vector quantization
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Summary:In the field of image compression, loads of scope exist for research. This work facilitates the platform to investigate and divulge the evidence of usage of vector quantization process in unique, prominent and renowned digital cameras of the present day. The work encompasses discrete cosine transform (DCT) based image compression technique using vector quantization of corresponding digital cameras, applied to standard test images. The luminance and chrominance quantization matrices of two digital cameras, namely Canon PowerShot A700 (Superfine) and Fuji FinePix A700 (Fine), are selected, which are investigated and verified as quantization level of 50. The proposed technique comprises not only one level of quantization; however, the vector quantization is variable from level 10 to 75. Both qualitative and quantitative analysis are carried out to verify the functionality and applicability of the algorithm. In addition, the functional verification of the said technique is carried out on Raspberry Pi low-cost embedded platform.
ISSN:2250-2106
2250-2114
DOI:10.1007/s40031-019-00392-1