294 research outputs found
Very fast watermarking by reversible contrast mapping
Reversible contrast mapping (RCM) is a simple integer transform that applies
to pairs of pixels. For some pairs of pixels, RCM is invertible, even if the
least significant bits (LSBs) of the transformed pixels are lost. The data
space occupied by the LSBs is suitable for data hiding. The embedded
information bit-rates of the proposed spatial domain reversible watermarking
scheme are close to the highest bit-rates reported so far. The scheme does not
need additional data compression, and, in terms of mathematical complexity, it
appears to be the lowest complexity one proposed up to now. A very fast lookup
table implementation is proposed. Robustness against cropping can be ensured as
well
A contrast-sensitive reversible visible image watermarking technique
A reversible (also called lossless, distortion-free, or
invertible) visible watermarking scheme is proposed to satisfy the applications, in which the visible watermark is expected to combat copyright piracy but can be removed to losslessly recover the original image. We transparently reveal the watermark image by overlapping it on a user-specified region of the host image through adaptively adjusting the pixel values beneath the watermark, depending on the human visual system-based scaling factors. In order to achieve reversibility, a reconstruction/ recovery packet, which is utilized to restore the watermarked area, is reversibly inserted into non-visibly-watermarked region. The packet is established according to the difference image between the original image and its approximate version instead of its visibly watermarked version so as to alleviate its overhead. For the generation of the approximation, we develop a simple prediction technique that makes use of the unaltered neighboring pixels as auxiliary information. The recovery packet is uniquely encoded before hiding so that the original watermark pattern can be reconstructed based on the encoded packet. In this way, the image recovery process is carried out without needing the availability of the watermark. In addition, our method adopts data compression for further reduction in the recovery packet size and improvement in embedding capacity. The experimental results demonstrate the superiority of the proposed scheme compared to the existing methods
VLSI Implementation of Reversible Watermarking using RCM
In this paper the design and implementation of image watermarking algorithm called reversible contrast mapping (RCM) is given. Watermarking is to embed the one important information into the cover media to provide the security to data. Reversible watermarking is one of the important scheme of the watermarking which is useful when reconstruction of original image from watermarked data is necessary after using it like medical and military images. We have used reversible contrast mapping (RCM) algorithm for inserting watermark of size 64×64 in original image of size 128 128. It is integer transform applied on pixel pairs. It gives high embedding rate at lower mathematical complexity and it does not require data compression with lowest complexity.
DOI: 10.17762/ijritcc2321-8169.15054
Reversible de-identification for lossless image compression using reversible watermarking
De-Identification is a process which can be used to ensure privacy by concealing the identity of individuals captured by video surveillance systems. One important challenge is to make the obfuscation process reversible so that the original image/video can be recovered by persons in possession of the right security credentials. This work presents a novel Reversible De-Identification method that can be used in conjunction with any obfuscation process. The residual information needed to reverse the obfuscation process is compressed, authenticated, encrypted and embedded within the obfuscated image using a two-level Reversible Watermarking scheme. The proposed method ensures an overall single-pass embedding capacity of 1.25 bpp, where 99.8% of the images considered required less than 0.8 bpp while none of them required more than 1.1 bpp. Experimental results further demonstrate that the proposed method managed to recover and authenticate all images considered.peer-reviewe
Reversible visible watermarking for H.264/AVC encoded video
Visible watermarked images and videos are generally used to convey ownership information. However, the visible watermark is generally irreversible and thus authenticated users cannot recover the original image or video quality after watermark extraction. This poses a limitation in various scenarios including military, law and medical applications. This paper presents a novel reversible visible watermarking scheme for H.264/AVC encoded video sequences. The proposed approach reversibly embeds the residual information that will then be used by the decoder to recover the original image. The residual information is losslessly compressed using the ZLib Deflector algorithm to minimize the information to be embedded. The compressed information is then encrypted using the 128-bit Advanced Encryption Standard (AES). Simulation results clearly demonstrate the superiority of the proposed scheme to current state of the art where Peak Signal-to-Noise Ration (PSNR) gains of up to 7 dB were achieved.peer-reviewe
Efficient Reversible Watermarking Technique with Contrast Enhancement for Color Images
In this paper histogram bin shifting based reversible data hiding algorithm for color images has been proposed. In this technique binary bits are embedded directly by addition and subtraction in two highest bin chosen and this process is repeated in modified histogram. A location map is generated by pre -processing to prevent the unnecessary overflow and underflow. All other pixels except two highest bins are also manipulated for contrast enhancement. Embedding of binary secret data is done on the each color component (Red, Green, and Blue) of color images. Secret Binary data bits are embedded in random permutation manner to secure the data from unauthorized receiver. Extraction of embedded binary bits is done by inverse algorithm of embedding process and original image is recovered by reverse manipulation embedding process. This proposed algorithm provide high embedding capacity with low distortion of original quality of image which may be used in different medical, military and satellite application.
DOI: 10.17762/ijritcc2321-8169.15062
Mobile-based Telemedicine Application using SVD and F-XoR Watermarking for Medical Images
منصة الخدمات الطبية عبارة عن تطبيق متنقل يتم من خلاله تزويد المرضى بتشخيصات الأطباء بناءً على المعلومات المستقاة من الصور الطبية. يجب ألا يتم تبديل محتوى هذه النتائج التشخيصية بشكل غير قانوني أثناء النقل ويجب إعادته إلى المريض الصحيح. في هذه المقالة، نقدم حلاً لهذه المشكلات باستخدام علامة مائية عمياء وقابلة للانعكاس وهشة استنادًا إلى مصادقة صورة المضيف. في الخوارزمية المقترحة، يتم استخدام الإصدار الثنائي من ترميز بوس_شوهوري _هوكوينجهام (BCH) للتقرير الطبي للمريض (PMR) والصورة الطبية الثنائية للمريض (PMI) بعد استخدام الغامض الحصري أو (F-XoR) لإنتاج العلامة الفريدة للمريض باستخدام مخطط المشاركة السرية (SSS). يتم استخدامه لاحقًا كعلامة مائية ليتم تضمينها في مضيف (PMI) باستخدام خوارزمية تحليل القيمة المفرد (SVD) العمياء القائمة على العلامة المائية. وهو حل جديد اقترحناه أيضًا بتطبيق SVD على صورة العلامة المائية العمياء. تحافظ الخوارزمية الخاصة بنا على مصادقة محتوى (PMI) أثناء النقل وملكية (PMR) للمريض لنقل التشخيص المصاحب فيما بعد إلى المريض الصحيح عبر تطبيق التطبيب عن بعد المحمول. يستخدم تقييم الخوارزمية لدينا علامات مائية مسترجعة توضح النتائج الواعدة لمقاييس الأداء العالية مقارنتا مع نتائج الاعمال السابقة في مقاييس الكشف عن التزوير وإمكانية الاسترداد الذاتي، مع قيمة 30NB PSNR، قيمة NC هي 0.99.A medical- service platform is a mobile application through which patients are provided with doctor’s diagnoses based on information gleaned from medical images. The content of these diagnostic results must not be illegitimately altered during transmission and must be returned to the correct patient. In this paper, we present a solution to these problems using blind, reversible, and fragile watermarking based on authentication of the host image. In our proposed algorithm, the binary version of the Bose_Chaudhuri_Hocquengham (BCH) code for patient medical report (PMR) and binary patient medical image (PMI) after fuzzy exclusive or (F-XoR) are used to produce the patient's unique mark using secret sharing schema (SSS). The patient’s unique mark is used later as a watermark to be embedded into host PMI using blind watermarking-based singular value decomposition (SVD) algorithm. This is a new solution that we also proposed to applying SVD into a blind watermarking image. Our algorithm preserves PMI content authentication during the transmission and PMR ownership to the patient for subsequently transmitting associated diagnosis to the correct patient via a mobile telemedicine application. The performance of experimental results is high compare to previous results, uses recovered watermarks demonstrating promising results in the tamper detection metrics and self-recovery capability, with 30db PSNR, NC value is 0.99
VLSI Implementation of Reversible Watermarking Algorithm
This paper presents VLSI design approach and implementation of Lifting based Reversible Watermarking Algorithm. 5 by 3 Lifting based Discrete Wavelet Transform based image watermarking algorithm is proposed. It is attractive algorithm because of easier understanding and implement. Main feature of Lifting based scheme is that all constructions are derived in the spatial domain. Therefore it does not require complex mathematical calculations that are required in traditional method. This algorithm is mainly applicable in Military application as well as Medical application where reconstruction of original image and watermarking data (or image) is essential from the watermarked image after serving intended purpose. In this algorithm, image is decomposed into four sub bands LL, LH, HL, and HH using Lifting based DWT Algorithm. Then watermarking data (or image) is embedded into any of three high frequency sub bands. The interesting point of this algorithm is that original image can be exactly restored from the watermarked image. The architecture of Lifting based DWT Algorithm has been coded in verilog HDL on Xilinx platform and the target FPGA device used is Virtex-IV family.
DOI: 10.17762/ijritcc2321-8169.15058
New Lossless Compression Method using Cyclic Reversible Low Contrast Mapping (CRLCM)
In general, the compression method is developed to reduce the redundancy of data. This study uses a different approach to embed some bits of datum in image data into other datum using a Reversible Low Contrast Mapping (RLCM) transformation. Besides using the RLCM for embedding, this method also applies the properties of RLCM to compress the datum before it is embedded. In its algorithm, the proposed method engages Queue and Recursive Indexing. The algorithm encodes the data in a cyclic manner. In contrast to RLCM, the proposed method is a coding method as Huffman coding. This research uses publicly available image data to examine the proposed method. For all testing images, the proposed method has higher compression ratio than the Huffman coding
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