Affiliations: [a] Department of Electronics, Sea College of Engineering, Bangalore, India | [b] Department of Electronics, Sri Krishna College of Engineering and Technology, Coimbatore, India
Correspondence:
[*]
Corresponding author: S. Anantha Padmanabhan, Department of Electronics, Sea College of Engineering, Bangalore, India. E-mail:[email protected]
Abstract: Image and video coding performs a significant task in
several multimedia applications. In recent years, digital video
communication can be found in numerous applications like broadcast services
over satellite and terrestrial channels, digital video storage, wired and
wireless conversational services and many more. Without processing, it is
not possible to store the complete digital video. Video compression denotes
the process of decreasing the amount of data required for representing the
digital video images and it is the combination of spatial image compression
and temporal motion compensation. So far, a lot of compression algorithms
had been developed for reducing the data quantity and to render more
satisfactory video quality. The main objective for carrying out this
research is to construct an efficient video compression system. There are
three stages involved in the proposed video compression system. In the first
step of video compression, wavelet decomposition is applied to the I-frame
and the resulting coefficients are quantized by employing the Listless SPECK
(LSK) algorithm. The various kinds of wavelets used in the proposed LSK
compression algorithm are the Daubechies, the Coiflet, the Biorthogonal and
the Reverse Biorthogonal. The compression ratio gets effectively modified
with different types of wavelets used. A novel block motion estimation
algorithm is utilized for estimating the motion between the various video
blocks. The comparison on the performance of LSK algorithm that uses
different kinds of wavelets were made and the performance measures used to
analyze the algorithm are the Compression Ratio (CR) and Peak Signal to
Noise Ratio (PSNR). An effective estimate of the motion in the frames is
obtainable with these performance measures. A highly efficient and effective
video compression is achieved with the proposed scheme. Since LSK has been
applied to different wavelet decompositions, the algorithm is more
advantageous in terms of speed and simple hardware implementation.
Keywords: Video compression, Listless SPECK (LSK), motion estimation, adaptive rood search with spatio temporal correlation (ARS-ST), motion vector prediction
