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Arockia Jansi Rani, P.
- Adaptive GOP Structure to H.264/AVC Based on Scene Change
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Authors
Affiliations
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 5, No 1 (2014), Pagination: 868-872Abstract
This paper proposes an adaptive GOP structure with the new logic of frame comparison in H.264/AVC to achieve better quality and reduce bit rate. Initially Group of Pictures (GOP) is set to a fixed size. Frames are compared within that GOP using correlation. According to the correlation, GOP is changed within that fixed size. So, there will be no GOP size greater than that fixed size. This method does not calculate any threshold. Hence the time needed to calculate global or local threshold is eliminated. It is integrated with conventional video codec H.264/AVC. This method is compared with H.264/AVC of fixed GOP structure of sizes 4, 8, 12, 16, 32 and GOP structure with the length of entire video. The proposed method achieved gain in bit rate from 0.49% to 69.75% and PSNR gain from 2.5% to 0.3%.Keywords
H.264/AVC, GOP, Correlation.
- Parametric Evaluation on the Performance of Various Image Compression Algorithms
Abstract Views :156 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Kamaraj College of Engineering and Technology, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tamil Nadu, IN
Source
ICTACT Journal on Image and Video Processing, Vol 1, No 4 (2011), Pagination: 229-235Abstract
Wavelet analysis plays a vital role in the signal processing especially in image compression. In this paper, various compression algorithms like block truncation coding, EZW and SPIHT are studied and ana-lyzed; its algorithm idea and steps are given. The parameters for all these algorithms are analyzed and the best parameter for each of these compression algorithms is found out.Keywords
Block Truncation Coding, Embedded Zero Wavelet, SPIHT.- Codevector Modeling Using Local Polynomial Regression for Vector Quantization Based Image Compression
Abstract Views :178 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamil Nadu,, IN
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamil Nadu,, IN
Source
ICTACT Journal on Image and Video Processing, Vol 1, No 1 (2010), Pagination: 37-42Abstract
Image compression is very important in reducing the costs of data storage and transmission in relatively slow channels. In this paper, a still image compression scheme driven by Self-Organizing Map with polynomial regression modeling and entropy coding, employed within the wavelet framework is presented. The image compressibility and interpretability are improved by incorporating noise reduction into the compression scheme. The implementation begins with the classical wavelet decomposition, quantization followed by Huffman encoder. The codebook for the quantization process is designed using an unsupervised learning algorithm and further modified using polynomial regression to control the amount of noise reduction. Simulation results show that the proposed method reduces bit rate significantly and provides better perceptual quality than earlier methods.- Improving Efficiency in Image Encryption and Compression Using Permutations & Predictions
Abstract Views :176 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 7, No 4 (2017), Pagination: 1463-1470Abstract
Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission. In this paper, a lossy compression method on encrypted color image is introduced with undetectable quality loss and high compression ratio. The proposed method includes the Zhang lossy compression [1], Hierarchical Oriented Prediction (HOP) [2], uniform quantization, negative sign removal, concatenation of 7-bit data and Huffman compression. The encrypted image is divided into rigid and elastic parts. The Zhang elastic compression is applied on elastic part and HOP is applied on rigid part. This method is applied on different test cases and the results were evaluated. The experimental evidences suggest that, the proposed method has better coding performance than the existing encrypted image compressions, with 9.645 % reductions in bit rate and the eye perception is visually lossless.Keywords
HOP, Huffman Compression, Encryption, Permutation, Rigid Data, Elastic Data.References
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- Temporal Redundancy Reduction in Wavelet Based Video Compression for High Definition Videos
Abstract Views :175 |
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Authors
Affiliations
1 Department of Computer Science, Kristu Jayanti College, IN
2 Department of Computer Science and Engineering, Manonmanian Sundaranar University, IN
1 Department of Computer Science, Kristu Jayanti College, IN
2 Department of Computer Science and Engineering, Manonmanian Sundaranar University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 2 (2018), Pagination: 1861-1866Abstract
Data Storage and Communication plays a significant role in every human. Digital images and videos are stored in mobile and other storage devices. More specifically, video data requires huge amount of storage space for which the storage devices are more expensive. Hence there is a necessity of reducing the storage space of the data. Video compression is more common in all researches. In this work, the role of wavelets in video compression is studied. The temporal redundant data are converted to spatial data which are then transformed to wavelet coefficients. The low frequency components are removed from these wavelet coefficients. The proposed method is tested with some video sequences. The performance of the proposed method is analyzed by comparing it with the existing recent methods and with the state-of-art H.265 video coding standard. The experimental results substantially proved that the proposed method achieves 3.8dB higher PSNR than H.265 and 1.6dB higher PSNR than recent wavelet based video codecs.Keywords
H264/AVC, Temporal Redundancy, Spatial Redundancy, High Definition Videos, Wavelet Transform.References
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