scholarly journals Destroy the Robust Commercial Watermark via Deep Convolutional Encoder-Decoder Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wei Jia ◽  
Zhiying Zhu ◽  
Huaqi Wang
Keyword(s):  
New Method ◽  
Original Image ◽  
Robust Watermark ◽  
Training Instance ◽  
Preprocessing Method ◽  
Convolutional Encoder

Nowadays, robust watermark is widely used to protect the copyright of multimedia. Robustness is the most important ability for watermark in application. Since the watermark attacking algorithm is a good way to promote the development of robust watermark, we proposed a new method focused on destroying the commercial watermark. At first, decorrelation and desynchronization are used as the preprocessing method. Considering that the train set of thousands of watermarked images is hard to get, we further use the Bernoulli sampling and dropout in network to achieve the training instance extension. The experiments show that the proposed network can effectively remove the commercial watermark. Meanwhile, the processed image can result in good quality that is almost as good as the original image.

scholarly journals A Blind Print-Recapture Robust Watermark Scheme by Calculating Self-Convolution

2019 ◽  
Vol 11 (4) ◽  
pp. 28-49 ◽  
Author(s):  
Mengmeng Zhang ◽  
Rongrong Ni ◽  
Yao Zhao
Keyword(s):  
Detection Rate ◽  
Color Image ◽  
Correlation Coefficients ◽  
Color Images ◽  
Geometric Transformation ◽  
Original Image ◽  
Color Spaces ◽  
Watermark Scheme ◽  
Robust Watermark ◽  
Cie Lab

A blind print-recapture robust watermark scheme is proposed. Watermark patterns are embedded into the space domain of a color image and can be detected from a print-recaptured version of the image without knowledge of the original image. The process of embedding invisible watermarks to convert RGB color images to CIE Lab color spaces and embed periodic watermarks in both color channels at the same time. Watermark extraction is achieved by calculating self-convolution and inverting the geometric transformation such as rotation and scale. Normalized correlation coefficients between the extracted and the embedded watermark pattern is calculated to determine whether there is watermark. The decision about the presence/absence of the watermark pattern is then determined by a threshold which is set 0.13, and the detection rate of 241 pictures is about 0.79.

A Reversible Watermarking Algorithm Resistant to Image Geometric Transformation

2019 ◽  
Vol 11 (1) ◽  
pp. 100-113
Author(s):  
Jian Li ◽  
Jinwei Wang ◽  
Shuang Yu ◽  
Xiangyang Luo
Keyword(s):  
High Performance ◽  
Side Information ◽  
Jpeg Compression ◽  
Reversible Watermarking ◽  
Experimental Results ◽  
Geometric Transformation ◽  
Original Image ◽  
Robust Watermark ◽  
Watermark Embedding ◽  
Watermarking Scheme

This article proposes a novel robust reversible watermarking algorithm. The proposed watermarking scheme is reversible because the original image can be recovered after extracting watermarks from the watermarked image, as long as it is not processed by an attacker. The scheme is robust because watermarks can still be extracted from watermarked images, even if it is undergone some malicious or normal operations like rotation and JPEG compression. It first selects two circles, which are centred at the centroid and the centre of image. Then, statistic quantities of these two circles are employed for robust watermark embedding by altering the pixels' value. The side information generated by above embedding process will be embedded as fragile watermarks at another stage to ensure the recovery of original image. Experimental results verify the high performance of the proposed algorithm in resisting various attacks, including JPEG compression and geometric transformation.

Two-Dimensional Barcode Encryption Technology Based on Improved Chaotic Sequences of Logistics

2013 ◽  
Vol 333-335 ◽  
pp. 563-566 ◽  
Author(s):  
Jian Min Zhou ◽  
Li Cai
Keyword(s):  
Computer Simulations ◽  
Chaotic Sequence ◽  
New Method ◽  
Two Dimensional ◽  
Salt And Pepper Noise ◽  
Original Image ◽  
Good Resistance ◽  
Encrypted Image ◽  
Chaotic Sequences ◽  
Salt And Pepper

A new method for two-dimensional barcode encryption through using improved chaotic sequences of logistics has been proposed. The image of two-dimensional barcode was divided into two parts and chaotic sequence for encryption with the two parts was used respectively. Experiments results denoted that five key ensured the encrypted image higher security. The MSE between the original image and the encrypted image is 3.49×106. Computer simulations are presented to verify its good resistance to salt and pepper noise.

Defect Feature Acquisition of LED Wafer Using Region Growing Segmentation with Clustering Strategy

2011 ◽  
Vol 181-182 ◽  
pp. 251-254
Author(s):  
Zhong Liang Pan ◽  
Ling Chen ◽  
Guang Zhao Zhang
Keyword(s):  
Region Growing ◽  
New Method ◽  
Original Image ◽  
Functional Faults ◽  
Feature Acquisition ◽  
Region Growing Segmentation ◽  
Manufacturing Environments

The defects of LED wafer may be caused from the manufacturing environments such as contamination. The appearance of the defects can results in functional faults of LED wafer. Therefore, it is very necessary to detect the defects in LED wafer. In this paper, a new method is presented for the defect feature acquisition of LED wafer, the method uses region growing to segment the LED wafer image in order to acquire the defect features. The clustering strategy is added to the region growing for enhancing the acquisition precision of defect features. The defect features that have been obtained can be used to detect these defects of LED wafer. The method consists of following two steps. First of all, the original image of LED wafer is partitioned into several sub-blocks that are not overlapped, and then these sub-blocks are segmented by clustering strategy. Secondly, the whole wafer image is segmented by using region growing algorithm.

An Improved Image Retrievaling Method Based on Moment Invariants

2012 ◽  
Vol 524-527 ◽  
pp. 3797-3800
Author(s):  
Chun Wu ◽  
Pan Zhao
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
New Method ◽  
Practical Significance ◽  
Moment Invariants ◽  
Original Image ◽  
Canny Operator ◽  
Moment Invariant ◽  
Image Retrieval System ◽  
The Moment

Shape-based image retrieval is an important part of image retrieval. According to the shape of moment invariant features of image, a new method for shape based image retrieval is presented. Firstly the edges in the original image using Canny operator are detected, the moment invariants of the edge map are calculated, and the moment invariants as the shape features are automatically indexed. Then, the similarity metrics to accelerate the match are redefined. Finally, the aspect ratio was defined to improve the retrieval precision. Experimental results show that the new method can remove some irrelevant information related to shape in the original image and weaken its influence on the retrieval results to some extent. This new method is simple and efficient and it is of some practical significance. This image retrieval system for education has made a good search result.

A New Method of Scalable Image Compression Coding

2013 ◽  
Vol 380-384 ◽  
pp. 3815-3817
Author(s):  
Yan Yang
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Region Of Interest ◽  
New Method ◽  
Original Image ◽  
High Quality ◽  
Memory Space ◽  
Limited Memory ◽  
Compression Coding

This paper presents a new method of scalable image compression coding based on the wavelet transform. This method delimits the region of interest of the original image, and give a high-quality encoding to this region and a rough encoding to the rest. The result shows that in the limited memory space, this algorithm provides the coarser reconstruct image to satisfy the basal subject quality. Using this method, we can give a high quality encoding to the region for interest.

Selective Sampling and Orientation of Non-Homogeneous Tissues

1968 ◽  
Vol 26 ◽  
pp. 98-99
Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Light Microscopy ◽  
Random Sampling ◽  
New Method ◽  
Microscope Examination ◽  
Small Areas ◽  
Selective Sampling ◽  
Large Numbers ◽  
Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

A new method for the determination of nitrates

1960 ◽  
Vol 23 ◽  
pp. 227-232 ◽  
Author(s):  
P WEST ◽  
G LYLES
Keyword(s):  
New Method
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