Digital Image Processing

Dhaval R. Bhojani ¹, Ved Vyas Dwivedi ²

Affiliations
1 Shri Jagdishprasad Jhabarmal Tibrewal University, Rajasthan, IN
2 Noble Group of Institutes, Junagadh, Gujarat, IN

Abstract

As the latest era is of multimedia applications for internet, major file transfers on the internet are audio or video files. So the major bandwidth usage of internet connection of any user is by these types of files. To reduce the bandwidth requirement in transferring multimedia files is major challenge now a day. So for this, there must be compression algorithms which can reduce the size of these files. This paper introduces advancement in the video compression technology to improve the compression ratio, without losing much quality of the video. Here the method, we have introduced is much simpler to implement in the practical implementation that small amount of modification in the existing codec can give better results. Here we have implemented the encoder and decoder in the MATLAB platform. The input videos were in uncompressed ‘.avi’ format. The compressed video contains some degradation but has good perceptibility that can be easily visible.

Keywords

Adaptive Rood Pattern Search (ARPS), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Group of Pictures (GOP), Run Length Encoding (RLE).

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Ashish M. Kothari ¹, Ved Vyas Dwivedi ²

Affiliations
1 Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot, Gujarat, IN
2 Noble Group of Colleges, Junagadh, IN

Abstract

In this paper, we have suggested two different spatial domain method based on the correlation property for the digital video watermarking and used the same for embedding invisible watermarks behind the video. It is used for the copyright protection as well asproof of ownership. Here we used the characteristic of the spatial domain methods for the embedding of the binary watermark where depending on the watermark the pixel value is directly modified and at the receiver end the modification is reverted. In this paper we first extracted the frames from the video and then embedded thewatermark using a key and a pseudo random pattern generated using the key. At the receiver end we used correlation characteristics of the pixels for watermarking extraction. In this paper we have designed a threshold based and a comparison based correlation approaches and at the end of the paper we compared both methods based on different visual quality matrices.

Keywords

Digital Video Watermarking, Copyright Protection, Spatial Domain Watermarking, Threshold Based Correlation, Comparison Based Correlation.

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