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Digital Watermarking of Stereoscopic Images Using Depth Image Based Rendering and Machine Learning

Thesis Info

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Author

Bashir, Tariq

Supervisor

Muhammad Sher

Program

PhD

Institute

COMSATS University Islamabad

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/7548/1/Tariq_Bashir_Electrical_Engineering_2016_CIIT_13.10.2016.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725906056

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Digital Watermarking of Stereoscopic Images Using Depth Image Based Rendering and Machine Learning The increasing acceptance of 3D-TV in recent years has attracted attention of the research community and industry towards the technology. Depth Image Based Rendering (DIBR) is the latest advancement in 3D-TV and free-view television. With the widespread of 3D content, copyright protection is becoming a serious concern for maximizing the profits and preventing illegitimate acquisition and distribution of the 3D media content. Digital watermarking is one such promising technique to tackle this problem. This thesis presents a comprehensive literature study of application of digital watermarking techniques, i.e., the three different paradigms for 3D images in particular and 3D-TV system in general. These paradigms include robust, fragile, and reversible watermarking for 3D system. In addition, this work also presents an improved reduced reference image quality assessment for 3D images along with a comprehensive literature survey of the field. Firstly, this thesis proposes a robust watermarking technique for 3D-TV. The proposed technique is based upon intelligent parameter selection using Genetic Algorithm (GA) in an improved spread spectrum based watermarking system. In order to enhance robustness, another layer of security of the watermark is added using Bose–Chadhuri–Hocquenghem (BCH) coding. Experimental results and comparison with state of the art technique demonstrate the effectiveness of the proposed technique to structure the watermark for high robustness in the presence of a number of hostile attacks. The second phase of this research proposes a fragile watermarking scheme for 3D-TV system for the purpose of content authentication. The proposed technique is based upon implicit watermarking of a number of other un-watermarked coefficient from a dependence neighborhood in a DCT based watermarking schemes. Such a scheme is robust against common counterfeiting attacks such as collage attack, cover up attack, transplantation, and vector quantization attack. In addition, the propose scheme is also capable of localizing the tempering of the cover work. x In the third phase of this research work, a reversible watermarking technique for DIBR 3D-TV is developed. The DIBR 3D-TV or free-view TV is one of the most promising technique in multimedia world. So, the protection of these valuable contents is an important concern in the world of digital processing. This study exploits the interpolation scheme by applying Genetic Programming (GP) based intelligent reversible watermarking technique. Previously, the empirical solutions are not that much effective and use hit and trial strategies for selecting optimal space for watermark embedding. The proposed scheme achieved considerable watermark capacity as well as Structure Similarity Index Metric (SSIM) and Peak Signal to Noise Ratio (PSNR), compared to existing state of the art contemporary schemes. The existing methods performed well against GA and Particle Swarm Optimizer (PSO), but show relatively less performance compared with Tian’s method. However, the PSNR value in the proposed method outperforms against Tian’s scheme. The proposed algorithm is tested on different standard publicly available 3D datasets. It is observed that the proposed scheme gives relatively better results compared with state of the art techniques. Last phase of this research work proposes an enhanced reduced reference image quality assessment technique. Reduced reference image quality assessment (RR-IQA) technique does not require the presence of the original image for assessing the quality of a degraded image. This work proposes an intelligent method for reduced reference image quality assessment based on Reorganized Discrete Cosine Transform (RDCT). The GA is used to compute optimized estimation of Generalized Gaussian Distribution (GGD), which then approximates the coefficient distribution in RDCT domain. Experimental results validate that such an intelligent estimation produces far superior results as compared to conventional empirical estimation methods as presented in literature. The comparative analysis of the proposed technique with a number of contemporary techniques present in the literature demonstrate the generalization capability and effectiveness of the proposed technique as compared to prior works.
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المبحث السابع: قصيدة بديع حقي

المبحث السابع:قصيدة بديع حقي

 حصلت الشاعرۃ علی قصیدۃ حرۃ منشورہ للشاعر بدیع حقی وذلک قبل صدور قصیدتھا وقصیدۃ بدر السیاب، وهذا مقطع من قصیدۃ بدیع حقي:

 

أي نسمۃ۔
حلوۃ الخفق علیلۃ۔
تمسح الأوراق في لین ورحمۃ۔
تھرق الرعشۃ في طیبات نغمۃ
وأنا في الغاب أبکي۔
أملاً ضاع وحلماً ومواعید ظلیلۃ۔
والمنى قد ھربت من صفرۃ الغصن النحیلۃ۔
فا نمحى النور وھام الظلّ یحکي

بعض وسواسي وأوھامي البخیلۃ[1]۔

 وذکرت نازک عن الباحث الدکتور أحمد مطلوب بأنہ أورد في کتابہ "النقد الحدیث في العراق"، وقد حصل علی أقدم قصیدۃ في الشعر الحر المعنونۃ ’’بعد موتي‘‘ المنشورۃ في جریدۃ العراق سنۃ 1921م تحت عنوان ’’النظم الطلیق‘‘ ولکن لم یذکر الشاعر اسمُہ بل رمز لاسمہ (ب۔ن)، ویدل ذلک علی أن ھناک محاولات ومباحثات حول الشعر الحر ، ودارت مناقشات بین النقاد والدارسین حول الأسبقیۃ الزمنیۃ في نظم الشعر الحر: أي القصیدتين سبقت الأخری، ھل کانت قصیدۃ ’’الکولیرا‘‘ لنازک أم قصیدۃ ’’ھل کان حباً؟‘‘ لبدر شاکر السیاب، وإلی من ترجع الریادۃ (ریادۃ الشعر الحر)؟

 وقد اعترفت نازک، بأن المسألۃ لیست مصادفۃ، إذا ھو مشروع ثقافي وإبداع کامل المحکم بالوعي والإرادۃ[2]. وتقول أیضاً بأن الریادۃ لم تکن لھؤلاء الشعراء الذین نظموا قصیدۃ واحدۃ او اثنین وعادوا إلی أسلوب الشطرین۔

وتعتقد نازک بأنّھا لو لم تبدأ ھي حرکۃ الشعر الحر، لبدأھا بدر شاکر السیاب، ولو لم یبدأھا بدر السیاب لبدأھا شاعر عربي آخر غیرہ، لأن في تلک السنین أصبح العصر یقبل الشکل الجدید ویرحب بکل ما ھو حدیث. ویتضح من المناقشات السابقۃ أن نازک الملائکۃ ھي ’’ رائدۃ الشعر الحر ‘‘ ۔

 

 



Child Labour in the Light of Quran and Sunnah

Child labor has been considered the most troubling & one of the greatest problems of great concern in the modern world, since it has not only negative effects on the child himself, but also on his family & society in general. However, it is a reality that can commonly & frequently be observed in the emerging & backward nations now a day where expropriated & evicted people take their young ones to workplaces to compete with their livelihoods. This article seeks to highlight the status of child labor & its solution in the light of Qur᾽an & Sunnah as many experts and platforms have offered their own solution. The study population consisted of scholars &the teachers/A᾽ema Kerām of religious institutions (Madrasah) of the Khyber Pakhtunkhwa Bannu, while its sample included 30 scholars & teachers/A᾽ema of different Madrasah in the Bannu District. The researcher has adopted content & methodologies of the interview from the respondents to explore this issue in detail. This study has the sole objective of: to find out solution of the Child Labour in the light of Holy Qur᾽an & Sunnah. This article summarizes the conclusion that holy religion of Muslims(Islam) strictly prohibit child labour, although allows child labour in some special cases, such as light work & character building activities which is

Some Contributions to Cubic Sets and Their Applications

Multiple decision-making models are undertaking the complexity of the organizations with measurable mathematical models may be very hard, particularly when there is an absence of numerical data. The idea of fuzzy set was presented by Zadeh (Zadeh, 1975). Fuzzy set theory has been applied in many fields such as, homoeopathic judgment, computer science, fuzzy algebra and decision-making problems. In real life, there are a measure of decision problems in which rank relations occur between different criteria, for example, when we buy an air ticket for traveling by considering the criteria such as "safety", "price" and "quality of service". Obviously, "safety" is with the highest priority compared with the others. Therefor in Atanassov (Atanassov, 1986) introduction the notion of intuitionistic fuzzy set (IFS) and considered the degree of membership as well as the degree of non-membership function. The situation of manufacture with indecision in real world problems has been a tough research that has produced unlike administrations and theories. Fuzzy decision making by their extensions have providing an extensive variety of tools that are bright to contract with indecision in dissimilar types of problems. Fuzzy decision-making methods have become slowly popular in decision making for personnel selection. According to Liang et al. (Liang, 2017), inadequate opinions are then finished with data vaccinated from reliable experts. In adding with respect to Liang et al. (Liang, 2017), such thoughts are more adapted by simulating their evolution due to social influence. It is also demonstrated that, under certain assumptions, the development of feelings due to effect joins to a final collective opinion. Cubic sets were introduced by Jun et al. (Jun, 2012), are the generalizations of fuzzy sets and intuitionistic fuzzy sets, in which there are two representations, one is used for the degree of membership and other is used for the non-membership. The membership function is hold in the form of interval while non-membership over the normal fuzzy set. This thesis consists of ten chapters. In chapter one, we present some basic definitions and results which are directly used in our work. Here we discussed Fuzzy set, interval-valued fuzzy set, Intuitionistic fuzzy set, triangular intuitionistic fuzzy number, trapezoidal intuitionistic fuzzy number, intuitionistic linguistic fuzzy set, hesitant fuzzy set and cubic set. In chapter 2, we present a new idea of cubic TOPSIS method with complete explanation providing in the form of different examples. We existing a new idea of cubic grey analysis set and proposed CF-MAGDM Model. In chapter 3, we introduce some basic concepts and operation laws related to triangular cubic fuzzy numbers and crisp weighted possibility means are defined. We developed weighted average operator of TCFNs and hamming distance of the TCFN are defined. We develop an MCDM method approach based on an extended VIKOR method using TCFNS; MCDM method using TCFN’s are developed. Finally, an illustrative example is given to verify the developed approach. We discuss in comparison analyses. In chapter 4, we define some new concepts comprising the definition, operations, crisp weighted possibility means and hamming distance of the trapezoidal cubic fuzzy numbers (TrCFNs). In Section 4, we develop a MAGDM approach based on an extended VIKOR method using trapezoidal cubic fuzzy numbers (TrCFNs). We discuss implementation of the solution methodology to solve the PLS problem. A discussion of the obtained results and sensitivity analysis are also included in this section. In chapter 5, we present some Einstein operations on cubic fuzzy sets (CFSs) and analysis some desirable properties of the proposed operations. We first develop some novel arithmetic averaging operators, such as the cubic fuzzy Einstein weighted averaging (CFEWA) operator, cubic fuzzy Einstein ordered weighted averaging (CFEOWA) operator and cubic fuzzy Einstein hybrid weighted averaging (CFEHWA) operator, for aggregating a collection of cubic fuzzy numbers (CFNs). We apply the CFEHWA operator to multiple attribute decision making (MADM) with cubic fuzzy material. Gives a numerical example according to our approach. In chapter 6, we discuss the trapezoidal cubic fuzzy number (TrCFN) and operational laws. We present some Einstein operations on trapezoidal cubic fuzzy sets (TrCFSs) and analysis some desirable properties of the proposed operations. We first develop some novel arithmetic averaging operators, such as the trapezoidal cubic fuzzy Einstein weighted averaging (TrCFEWA) operator, trapezoidal cubic fuzzy Einstein ordered weighted averaging (TrCFEOWA) operator and trapezoidal cubic fuzzy Einstein hybrid weighted averaging (TrCFEHWA) operator, for aggregating a collection of trapezoidal cubic fuzzy numbers (TrCFNs). We apply the TrCFEHWA operator to multiple attribute decision making (MADM) with trapezoidal cubic fuzzy material. Gives a numerical example according to our approach. We discuss comparison analysis. In chapter 7, we present the definition and operational laws of CFLSs. The score function, accuracy function, and certainty function for CFLV are also defined and thereby a lexicographer method is established to rank the CFLVs. Three kinds of cubic fuzzy linguistic arithmetic aggregation operators are defined and their required properties are deliberated in detail. Two decision methods for MAGDM problems with CFLVs are proposed. An example of investment choice and comparison analysis is given. In chapter 8, we exhibit of triangular cubic linguistic hesitant fuzzy sets and triangular cubic linguistic hesitant fuzzy elements. We exhibit a series of aggregation operators for triangular cubic linguistic hesitant fuzzy information and watch the associations among these aggregation operators. We develop an approach to group decision makings with triangular cubic linguistic hesitant fuzzy data. The application of the developed approach in group decision-making problems is shown by an illustrative example. Results and discussion are defined. In chapter 9, we exhibit a series of aggregation operators for triangular cubic linguistic hesitant fuzzy information and watch the associations among these aggregation operators. Develops an approach to group decision makings with triangular cubic linguistic hesitant fuzzy data. The application of the developed approach in group decisionmaking problems is shown by an illustrative example. We propose the comparison method. In chapter 10, we develop trapezoidal cubic hesitant fuzzy number and operational laws. We propose trapezoidal cubic hesitant fuzzy TOPSIS method. A numerical example of the proposed model is presented. We discuss comparison to different method.