Image Compression Using Principle Component Analysis

Abbas, Amel H.; arab, abbas; Harbi, Jamila

doi:10.23851/mjs.v29i2.256

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…It has been used in a number of industries with one of the most common being in biometrics or “bioimaging” where physical features are used to identify a person with application on mobile phones, security systems. PCA has also been used for dimension reduction of large volumes of data and also in image compressing (Arab et al , 2018; Karamizadeh et al , 2013; Polyak and Mikhail, 2017). The application of PCA in reducing variables as already noted in the literature review makes it a useful tool in modern days where large volumes of data are compiled and compared for its usefulness.…”

Section: Methodsmentioning

confidence: 99%

Financial statement analysis

Mbona

Kong

2019

AJAR

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Purpose The Chinese Telecoms Industry has been rapidly growing over the years since 2001. An analysis of financial performance of the three giants in this industry is very important. However, it is difficult to know how many ratios can be used best with little information loss. The paper aims to discuss this issue. Design/methodology/approach A total of 18 financial ratios were calculated based on the financial statements for three companies, namely, China Mobile, China Unicom and China Telecom for a period of 17 years. A principal component analysis was run to come up with variables with significance value above 0.5 from each component. Findings At the end, the authors conclude how financial performance can be analysed using 12 ratios instead of the costly analysis of too many ratios that may be complex to interpret. The results also showed that ratios are all related as they come from the same statements, hence, the authors can use a few to represent the rest with limited loss of information. Originality/value This study will help different stakeholders who are interested in the financial performance of each company by giving them a shorter way to analyse performance. It will also assist those who do financial reporting on picking the ratios which matter in reflecting the performance of their companies. The use of PCA gives unbiased ratios that are most significant in assessing performance.

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Section: Methodsmentioning

confidence: 99%

Financial statement analysis

Mbona

Kong

2019

AJAR

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“…Subsequently, it can be seen that if the compression of semantic information is done using the SMPC matrix at a compression rate of 0.065, we reach a recovery probability of 1. In contrast, using PCA [31] or Autoencoder [15] for compression, both of which are lossy methods, results in no possibility of correct recovery. For PCA compression, as illustrated in Fig.…”

Section: A Noiseless Measurementsmentioning

confidence: 99%

Semantic Communication for Critical 6G Applications Based on Compressed Sensing

Rezaei,

Azmi,

Jorswieck

et al. 2023

Preprint

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“…Some contend that the media's selective emphasis on negative facets of Qatar, such as the treatment of foreign laborers, while downplaying the host nation's positive achievements, signifies the potential presence of bias and hypocrisy [13]. Conversely, an opposing viewpoint posits that certain criticisms, particularly those related to labor conditions, represent valid concerns deserving of media attention [14]. This scholarly article endeavors to contribute significantly to the ongoing academic discourse by offering a comprehensive and rigorous analysis of the media's coverage of the 2022 Qatar World Cup.…”

Section: Fifa World Cup 2022 Qatar's Distinct Legacymentioning

confidence: 99%

Countering Islamophobia through Sports: Qatar's Initiatives during the 2022 FIFA World Cup

Ismail

2023

ijmst

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This paper examines how Qatar used the 2022 FIFA World Cup as a platform to address global Islamophobia. Taking place in the context of a conference on Islamophobia at Georgetown University in Qatar, the study analyzes the role Western media played in reinforcing negative stereotypes and biases against Muslims before and during the event. It highlights Qatar's wide-ranging efforts to educate the public, influence policy, and promote open discussions on how to counteract these prejudices. Special attention is given to the significant role of sports celebrities, particularly football star Mo Salah, in reducing anti-Muslim sentiment. Empirical data support the idea that Salah's public Muslim identity contributed to a decline in hate crimes and negative social media chatter. Additionally, the study explores the possible positive impact, known as the "Qatar effect," that hosting the World Cup could have on reducing negative attitudes towards Muslims. This is similar to how Mo Salah's presence and influence have positively affected public opinion, known as the "Salah effect." The paper also discusses how Qatar infused cultural elements, like Quranic verses and Bedouin traditions, into the event to foster a broader understanding and appreciation of its heritage. It further addresses ethical and human rights concerns such as the conditions of migrant workers and civil liberties, emphasizing the inconsistency in how the world reacts to these issues in different contexts. Overall, this research offers a comprehensive look at how the 2022 FIFA World Cup served as a stage for Qatar to influence global perspectives on Islamophobia while shedding light on the social and political complexities tied to hosting a world-renowned event.

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Image Compression Using Principle Component Analysis

Cited by 7 publications

References 7 publications

Financial statement analysis

Financial statement analysis

Semantic Communication for Critical 6G Applications Based on Compressed Sensing

Countering Islamophobia through Sports: Qatar's Initiatives during the 2022 FIFA World Cup

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