scholarly journals Image Processing Method Based on Chaotic Encryption and Wavelet Transform for Planar Design

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yiying Liu ◽  
Young Chun Ko
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Chaotic System ◽  
Graphic Design ◽  
Initial Conditions ◽  
Mean Value ◽  
Processing Method ◽  
Chaotic Encryption ◽  
Characteristic Analysis ◽  
The Mean

This paper provides an in-depth study and analysis of image processing for graphic design through chaotic encryption combined with a wavelet transform algorithm. Firstly, the traditional Mallat algorithm is optimized; since the mean value of the transform coefficients generated after the wavelet transform of the image is used as the initial value of the chaotic system to iterate, when the image is modified, then the mean value of the wavelet coefficients will also change, and the final iteration comes out as two different sequences using the property that the chaotic system is extremely sensitive to the initial conditions, so the algorithm has a certain sensitivity to tampering and localization effect. The image of the encrypted graphic design is decrypted by the chaos decryption system, and the final image information of the graphic design is obtained. In terms of the security of the graphic design image itself, the complex dynamical properties of chaos are fully utilized to encrypt it, and the algorithm has a good encryption effect after statistical characteristic analysis, attack complexity, difference analysis, adjacent pixel correlation analysis, and key sensitivity analysis. The plaintext image is decomposed in odd-even sequence using the boosting algorithm to get the sequence with an even index and the sequence with an odd index; then, the diffusion algorithm is applied to the two sequences by the prediction and update algorithm, and this process is repeated many times to get the two ciphertext sequences after scrambling, merging these two sequences, and matrixing them to get the ciphertext image. Finally, the testing of the embedded planar designed image revolves around four aspects, namely, image processing, tamper sensitivity, robustness, and imperceptibility, to examine the designed planar designed image system. In the diffusion manipulation, the key matrix for diffusion is obtained using the threshold processing method of the Local Binary Pattern (LBP) algorithm for the matrices generated by the Logistic Chaos system, which improves the randomness of the algorithm. The experimental results verify the effectiveness and security of the algorithm.

Application of Improved BP Neural Network in Threshold Selection for Image Processing

2013 ◽  
Vol 860-863 ◽  
pp. 2872-2875
Author(s):  
Yang Ming He ◽  
Jian Qiang Du
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Adaptive Learning ◽  
Bp Neural Network ◽  
Mean Value ◽  
Good Effect ◽  
Threshold Selection ◽  
The Mean ◽  
Selection For ◽  
The Relationship

There are a lot of methods to select threshold in image processing. Because BP neural network can adapt to fixed environment, it is applied in this area in this paper. Firstly, according to the feature of image, BP neural network is constructed. The input items of network are the features of image. The mean value and variance of gray in the image is the important features of image, so two input items can be chosen. The output items are the values of threshold. If one threshold is chosen, one output item can be chosen. In some condition, two thresholds should be set, then two output items would be chosen. In order to overcome the shortcomings of BP neural network, it should be improved by certain momentum which is used to avoid local minimums. In order to speed the training of the network, adaptive learning rate should be used, too. The BP neural network establishes the relationship between the features of image and the threshold. After training, the network can select suitable threshold for images in fixed environment. Some practical images are used to prove its good effect.

scholarly journals PENERAPAN METODE SUGESTOPEDIA UNTUK MENINGKATKAN KEMAMPUAN MENULIS PUISI SISWA KELAS V SEKOLAH DASAR

2018 ◽  
Vol 5 (2) ◽  
pp. 106
Author(s):  
Sri Wulan Anggraeni ◽  
Yayan Alpian
Keyword(s):  
Research Methodology ◽  
Initial Conditions ◽  
Research Result ◽  
Mean Value ◽  
Vocational School ◽  
Student Needs ◽  
Average Value ◽  
Study Results ◽  
The Mean ◽  
Bahasa Indonesia

Penelitian ini bertujuan untuk mengetahui peningkatan kemampuan menulis puisi siswa SDN Muktiwari 02 melalui penerapan metode sugestopedia. Metode penelitian yang digunakan adalah penelitian tindakan kelas. Penelitian ini dilakukan sebanyak tiga siklus yang setiap siklusnya melalui proses pengkajian yang terdiri dari empat tahap, yaitu merencanakan, melakukan tindakan, mengamati, dan melakukan refleksi. Hasil penelitian ini menunjukkan bahwa pembelajaran menulis puisi dengan menerapkan metode sugestopedia dapat meningkatkan kemampuan menulis puisi siswa. Terbukti dengan aktivitas dan hasil belajar menulis puisi siswa pada kondisi awal pra siklus dengan nilai rata-rata 51,88. Setelah dilakukan tindakan dengan menerapkan metode sugestopedia mengalami peningkatan yaitu pada siklus I dengan nilai rata-rata 62,5,siklus II dengan nilai rata-rata 68,95, dan pada siklus III nilai rata-rata 75,2. Oleh karena itu, pembelajaran dengan menerapkan metode sugestopedia dapat meningkatkan kemampuan menulis puisi. Implikasi penelitian ini ditujukan kepada pendidik, peneliti, dan lembaga atau intansi yang terkait khususnya pihak sekolah agar dapat lebih peka terhadap  kebutuhan siswa dan meningkatkan kreativitas pendidik dalam proses pembelajaran terutama pembelajaran bahasa Indonesia khusunya pembelajaran menulis puisi.Kata kunci: kemampuan menulis puisi, metode sugestopedia. APPLICATION OF SUGESTOPEDIA METHODS TO IMPROVE THE WRITING POETRY ABILITY OF VOCATIONAL SCHOOL OF ELEMENTARY SCHOOLAbstractThis study is aimed to know students’ ability in increasing their poem writing at SDN muktiwari 02 by using method of sugestopedia. Research methodology used is classroom action research. The study is done in three of any cycles through research repeated, consisting of four stage, the plan, take action, observing, and reflection. This research result indicates that learning wrote poems by applying a method of sugestopedia can improve the ability of students writing poetry. Proven with the activity and study results wrote poems students on initial conditions pre cycle the average value of 51,88. After conducted the act of by applying method sugestopedia increased where the cycle I the average value of 62.5, cycle II the average value of 68,95, and in cycle III  the mean value of the 75,2. Hence, learning by applying method sugestopedia can improve the ability wrote poems. Implication this research shown to educator, researchers, and institution or intansi related especially the school that can more vulnerable to student needs and creative educator in learning especially learning the indonesian language especially learning wrote poems.

Unscented MPSP for Optimal Control of a Class of Uncertain Nonlinear Dynamic Systems

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
S. Mathavaraj ◽  
Radhakant Padhi
Keyword(s):  
Optimal Control ◽  
Initial Conditions ◽  
Mean Value ◽  
Control Synthesis ◽  
Benchmark Problems ◽  
Computationally Efficient ◽  
Efficient Manner ◽  
The Mean ◽  
Low Dimensional ◽  
Time Invariant

A new computationally efficient nonlinear optimal control synthesis technique, named as unscented model predictive static programming (U-MPSP), is presented in this paper that is applicable to a class of problems with uncertainties in time-invariant system parameters and/or initial conditions. This new technique is a fusion of two recent ideas, namely MPSP and Riemann–Stieltjes optimal control problems. First, unscented transform is utilized to construct a low-dimensional finite number of deterministic problems. The philosophy of MPSP is utilized next so that the solution can be obtained in a computational efficient manner. The control solution not only ensures that the terminal constraint is met accurately with respect to the mean value, but it also ensures that the associated covariance matrix (i.e., the error ball) is minimized. Significance of U-MPSP has been demonstrated by successfully solving two benchmark problems, namely the Zermelo problem and inverted pendulum problem, which contain parametric and initial condition uncertainties.

scholarly journals Fast Decomposition Algorithm Based on Two-Dimensional Wavelet Transform for Image Processing of Graphic Design

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Feifei Jiang ◽  
Wenting Yao
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Graphic Design ◽  
Low Frequency ◽  
Decomposition Algorithm ◽  
Feature Point ◽  
Two Dimensional ◽  
Feature Points ◽  
Long Time ◽  
Fast Decomposition

Graphic design is an important part of the design field today. In this era of information explosion, designs that can deliver information faster and more accurately are bound to gain popularity among the public. In this paper, we propose a fast decomposition algorithm image processing method based on a new transform of the wavelet transform, which mainly addresses the problems of large computation of feature points and long-time consumption of traditional image processing algorithms. Firstly, the second-order decomposition of the image is performed by wavelet function to obtain the low-frequency components of the image, and the wavelet gradient vector is used to extract feature points from the overlapping regions of the low-frequency image so that the transformation parameters of feature points can be obtained quickly under the low-frequency image to guide the feature point extraction under the high-frequency image; on this basis, an improved algorithm of image processing based on the fast decomposition algorithm of two-dimensional wavelet transform with planar design is proposed. Using the properties of one-way matching and directional consistency of feature point constraints, the mismatched point pairs are effectively eliminated to improve the feature point matching accuracy and real-time performance. Finally, the effectiveness and feasibility of the proposed method are verified by two sets of experiments.

scholarly journals ANALISIS DATA BATIMETRI LAPANGAN DAN CITRA LANDSAT 8 OLI DI PERAIRAN SELAT LEPAR KABUPATEN BANGKA SELATAN (ANALYSIS BATIMETRY FIELD AND BATIMETRY CITRA LANDSAT 8 OLI IN LEPAR CURRENT REGENCY OF SOUTH BANGKA)

2018 ◽  
Vol 13 (2) ◽  
pp. 75
Author(s):  
Dewi Sartika ◽  
Agus Hartoko ◽  
Kurniawan Kurniawan
Keyword(s):  
Image Processing ◽  
Polynomial Regression ◽  
Acoustic Method ◽  
Mean Value ◽  
Landsat 8 ◽  
Basic Information ◽  
Landsat 8 Oli ◽  
Industrial Estate ◽  
The Mean ◽  
Polynomial Regression Equation

Selat Lepar merupakan perairan dengan batas antara kawasan pesisir Sadai dengan kawasan Pulau Lepar Kabupaten Bangka Selatan. Informasi perairan kedalaman (batimetri) merupakan salah satu hal penting dalam menentukan wilayah alur jalannya pelayaran dalam perencanaan kawasan industri Sadai.  Penelitian ini bertujuan untuk menganalisis data batimetri lapangan dan citra Satelit Landsat 8 dan membuat dalam bentuk peta 3D di perairan Selat Lepar Kabupaten Bangka Selatan. Penelitian ini dilaksanakan pada bulan Oktober hingga April di perairan Selat Lepar Kabupaten Bangka Selatan.  Metode yang telah digunakan adalah metode akustik dengan melakukan pengambilan data batimetri di lapangan menggunakan singlebeam echosounder kemudian data lapangan dibandingkan dengan metode pengolahan citra landsat 8 menggunakan algoritma Satellite Derived Bathymetry (SDB). Algoritma Satellite Derived Bathymetry (SDB) menggunakan tiga pendekatan yaitu rationing, thresholding dan mean value Kanal 5 dan Kanal 2 citra satelit Landsat 8.  Pengukuran lapangan nilai batimetri perairan Selat Lepar Kabupaten Bangka Selatan berkisar antara 0.8 – 19 m.  Model pendekatan thresholding memiliki hubungan yang paling baik dengan persamaan regresi polinomial y = -235,3(B2-B5)2 + 126,2(B2-B5) - 13.35 dan y = -235,3(B5-B2)2 – 126,2(B5-B2) – 13,35, nilai koefisien determinasi tertinggi R2= 0,849. Peta layout  batimetri perairan Selat Lepar Kabupaten Bangka Selatan dalam bentuk 3D menghasilkan kedalaman 0-19 m dengan bentuk dasar perairan dangkal, landai dan dangkal.  Lepar Strait is a borderline area between Sadai coastal area with Lepar Island area of South Bangka Regency. Basic information of bathymetry is one of important things in determining the area of the shipping path in the planning of the Sadai industrial estate. This study aims to analyze the bathymetry and Landsat 8 satellite data and create it in 3D map form in the Lepar Strait area of South Bangka Regency. This research was conducted from October to April in Lepar Strait waters in South Bangka Regency. The method that has been used is acoustic method by collecting data using singlebeam echosounder and data then proceed with the method of image processing of landsat 8 using Satellite Derived Bathymetry (SDB) algorithm. The Satellite Algorithm Derived Bathymetry (SDB) used  three  approaches  namely  rationing,  thresholding  and  the  mean  value  of Kanal 5 and Kanal 2 Landsat 8 satellite. The measurement of  bathymetry Lepar Strait of South Bangka Regency between 0.8 to 16 m. The thresholding approach model has the best relation with the polynomial regression equation y = -235.3(B2-B5)2  + 126.2 (B2-B5) - 13.35 and y = -235.3 (B5-B2) 2 - 126.2 (B5-B2) –13.35, coefficient value of determination main R2  = 0.849. Map of bathymetry layers Lepar Strait of South Bangka Regency in the form of 3D produces a depth of 0-19 m with a shallow, slope and shallow base. 

Image Processing Method of Dynamic Range With Wavelet Transform Based on Human Visual Gray Recognition Characteristics

2012 ◽  
Vol 27 (3) ◽  
pp. 385-390 ◽  
Author(s):  
唐艳秋 TANG Yan-qiu ◽  
张星祥 ZHANG Xing-xiang ◽  
李新娥 LI Xin-e ◽  
任建岳 Ren Jian-yue
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Dynamic Range ◽  
Processing Method ◽  
Image Processing Method

ARTISTIC MOSAIC SERIES GENERATION

2006 ◽  
Vol 06 (01) ◽  
pp. 139-154 ◽  
Author(s):  
XUELONG LI ◽  
YUAN YUAN ◽  
DACHENG TAO
Keyword(s):  
Image Processing ◽  
Effective Means ◽  
Mean Value ◽  
Experimental Results ◽  
Basic Algorithm ◽  
New Approach ◽  
Color Features ◽  
The Mean ◽  
The Impact ◽  
New Location

Human tastes in art motivate the need for effective means to build a visual mosaic picture which is made up of many small tiles. In some previous work researchers have tried to translate pictures' styles.1 In this paper, a new approach to image processing in arts is presented in the domain of generating a series of artistic mosaic pictures. An arbitrary image is first translated into a mosaic-based one by dividing it into a number of sub-blocks each with the mean value of the pixels in it. Each of these small fragments can be assigned a new location within this image so that a new mosaic picture is generated. By this mean, images with similar color features can be used to create a series of mosaic pictures. The mosaic pictures consist of the same elements as each other, but might be extremely different from the semantic contents. A basic algorithm is presented, followed by some further improvements. Some preliminary experimental results are then given to show the impact of the proposed special techniques.

The masses of 18 pairs of double neutron stars and implications for their origin

2018 ◽  
Vol 14 (S346) ◽  
pp. 474-477
Author(s):  
ChengMin Zhang ◽  
YiYan Yang
Keyword(s):  
Neutron Star ◽  
Neutron Stars ◽  
Mass Distribution ◽  
Binary Stars ◽  
Formation Process ◽  
Initial Conditions ◽  
Mean Value ◽  
Solar Mass ◽  
The Mean ◽  
The Masses

AbstractFor the observed 18 pairs of double neutron star (DNS) systems, we find that DNS mass distribution is very narrow and its mean value (about 1.34 solar mass) is less than the mean of all measured pulsars of about 1.4 solar mass. To interpret the special DNS mass characteristics, we analyze the DNS formation process, via the phases of HMXBs, by investigating the evolution of massive binary stars. Moreover, in DNSs, two classes of NSs are taken into account, formed by supernova (SN) and electron capture (EC), respectively, and generally the NS mass by SN is bigger than that by EC. Quantitatively, with various initial conditions of binary stars, the observed special DNS distribution can be satisfactorily explained.

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