In view of high data embedding capacity and many real time applications, we have proposed a reversible invisible watermarking algorithm. The technique is used to embed a set of watermark data in an ...image using a one pass embedding process and later recovering the original image without any loss, after the extraction of watermark. Main motivation behind this work is the usage of two different prediction schemes-Weighted Causal Average and Context Based Image Compression Algorithm, to obtain two images similar to the original image, and using the error pattern resulted from the two predicted images to embed data depending upon the nature of image. Based on this error pattern, binary data is embedded in an image using two different embedding schemes- Bijective Mirror Mapping technique and Histogram Shifting Algorithm, resulting in better embedding capacity or payload capacity and better PSNR than other reversible one-pass watermarking algorithms mentioned in literature.
This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major ...stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second stage, local edge preserving filters are used on the basis of noisy pixel detected and the nature of its neighboring pixels in the selected window. Comparing the obtained results with other computationally simple noise removal techniques, our proposed algorithm gives much better qualitative and quantitative performance. Due to its simplicity and low computational cost, our method is suitable for its application in many real time situations.
This paper presents a new generic algorithm for image interpolation as well as lossless image coding. Main motivation behind the work is to reduce computational complexity involved in using Least ...Square Error Minimization (LS). The proposed method down samples the given image to its quarter size and then to its (1/16)th size. For each downsampled image, the least Square predictors are then obtained corresponding to pixels belonging to each bin. Thus, these predictors are used to synthetically generate a set of optimal predictors corresponding to each bin of the original image. Our proposed algorithm thus reduces 60% to 70% of computational complexity. We also observed that proposed algorithm gives insignificant loss in terms of compression ratio as compared with some of the previous works reported in literature.
Co-operative content adaptation framework Dubey, Ayush; De, Pradipta; Dey, Kuntal ...
Proceedings of the 22nd International Conference on World Wide Web,
05/2013
Conference Proceeding
Mobile Web is characterized by two salient features, ubiquitous access to content and limited resources, like bandwidth and battery. Since most web pages are designed for the wired Internet, it is ...challenging to adapt the pages seamlessly to ensure a satisfactory mobile web experience. Content heavy web pages lead to longer load time on mobile browsers. Pre-defined load order of items in a page does not adapt to mobile browsing habits, where user looks for different snippets of a page to load under different contexts. Web content adaptation for mobile web has mainly focused on the user to define her preferences for content. We propose a framework where content creator is additionally included in guiding the adaptation. Allowing content creator to specify importance of items in a page also helps in factoring her incentives by pushing revenue generating content. We present mechanisms to enable cooperative content adaptation. Preliminary results show the efficacy of cooperative content adaptation in resource constrained mobile browsing scenario.
In this paper, we propose a new adaptive image interpolation algorithm for enhancement of natural images. The proposed method uses different algorithms namely SAI, SPIA and Context-Based Image ...Interpolation Algorithm (CBIA) techniques, for both edgy and smooth type of images. The detailed part of smooth type image is interpolated by SAI, while we propose to use SPIA method for detailed part of edgy image. The rest of the pixels for either type of images are interpolated by CBIA. From the simulation results, we found that our adaptive interpolation technique results in better subjective and objective (PSNR) quality in comparision to some of the recent works in literature.
On the lines of the huge and varied efforts in the field of automation with respect to technology development and innovation of vehicles to make them run autonomously, this paper presents an ...innovation to a bicycle. A normal daily use bicycle was modified at low cost such that it runs autonomously, while maintaining its original form i.e. the manual drive. Hence, a bicycle which could be normally driven by any human and with a press of switch could run autonomously according to the needs of the user has been developed.
On the lines of the huge and varied efforts in the field of automation with respect to technology development and innovation of vehicles to make them run on electric power and moreover autonomously, ...this paper presents a research and innovation applied to a bicycle. A normal daily-use bicycle has been modified at low-cost such that it runs autonomously, while maintaining its original form i.e. the manual drive. Hence, a bicycle which could be normally driven by any human and with a press of switch could run autonomously according to the user's needs has been developed.
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