Themrichon Tuithung

TL;DR: A spatial domain color steganography method that uses a neighboring pixel-pair differencing concept to enhance the embedding capacity and a comparison between the proposed method and the existing methods on the basis of embeddingcapacity and stego image quality is shown.

TL;DR: The proposed method is to construct a Block-wise Edge Adaptive Steganography Scheme (BEASS), which offers high payload, minimal distortion embedding by hiding three message bits into edge pixels using the minimal Mean Square Error to determine the embedding capacity of neighboring non-edge pixels within the block to preserve the statistical dependencies.

TL;DR: A novel transform domain method is proposed to provide a better data hiding method that uses a multi-resolution transform function, integer wavelet transform (IWT) that decomposes an image into four subbands: low-low, low-high, high-low and high-high subband.

TL;DR: This work is novel in the sense that there is no record of work available to date that is able to classify all 56 classes of the MMM, and will also serve as a pre-cursor for developing end-to-end OCR software for translating old manuscripts, newspaper archives, books, and so on.

TL;DR: In this paper, a detailed review of the current trends in digital image steganography, where the secret message is embedded in image cover source and analysis of the different approaches along with the impact on the choice of embedding algorithm, image cover selection, the image performance metrics with extensive focus given on adaptive image Steganography.