scholarly journals Image-To-Image Translation Using a Cross-Domain Auto-Encoder and Decoder

2019 ◽  
Vol 9 (22) ◽  
pp. 4780 ◽  
Author(s):  
Jaechang Yoo ◽  
Heesong Eom ◽  
Yong Suk Choi
Keyword(s):  
Translation Method ◽  
Feature Mapping ◽  
Target Image ◽  
Image Domain ◽  
Qualitative And Quantitative ◽  
Cross Domain ◽  
Image Translation

Recently, several studies have focused on image-to-image translation. However, the quality of the translation results is lacking in certain respects. We propose a new image-to-image translation method to minimize such shortcomings using an auto-encoder and an auto-decoder. This method includes pre-training two auto-encoders and decoder pairs for each source and target image domain, cross-connecting two pairs and adding a feature mapping layer. Our method is quite simple and straightforward to adopt but very effective in practice, and we experimentally demonstrated that our method can significantly enhance the quality of image-to-image translation. We used the well-known cityscapes, horse2zebra, cat2dog, maps, summer2winter, and night2day datasets. Our method shows qualitative and quantitative improvements over existing models.

scholarly journals Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation

2020 ◽  
Author(s):  
Daniel Ruiz ◽  
Gabriel Salomon ◽  
Eduardo Todt
Keyword(s):  
Satellite Images ◽  
State Of The Art ◽  
Spatial Arrangement ◽  
Data Generation ◽  
Qualitative And Quantitative ◽  
Pascal Voc ◽  
Image Translation ◽  
Quantitative Analyses

There is an increasing interest in image-to-image translation withapplications ranging from generating maps from satellite images tocreating entire clothes’ images from only contours. In the presentwork, we investigate image-to-image translation using GenerativeAdversarial Networks (GANs) for generating new data, taking as acase study the morphing of giraffes images into bird images. Morphinga giraffe into a bird is a challenging task, as they have differentscales, textures, and morphology. An unsupervised cross-domaintranslator entitled InstaGAN was trained on giraffes and birds,along with their respective masks, to learn translation betweenboth domains. A dataset of synthetic bird images was generatedusing translation from originally giraffe images while preservingthe original spatial arrangement and background. It is important tostress that the generated birds do not exist, being only the result of alatent representation learned by InstaGAN. Two subsets of commonliterature datasets were used for training the GAN and generatingthe translated images: COCO and Caltech-UCSD Birds 200-2011.To evaluate the realness and quality of the generated images andmasks, qualitative and quantitative analyses were made. For thequantitative analysis, a pre-trained Mask R-CNN was used for thedetection and segmentation of birds on Pascal VOC, Caltech-UCSDBirds 200-2011, and our new dataset entitled FakeSet. The generateddataset achieved detection and segmentation results close tothe real datasets, suggesting that the generated images are realisticenough to be detected and segmented by a state-of-the-art deepneural network.

Comparative Pharmacognostic, Physicochemical and Phytochemical Studies of Different Samples of Plumbago zeylanica L. Roots

2017 ◽  
Vol 9 (06) ◽  
Author(s):  
Neha Jain ◽  
Mohan Lal Kori
Keyword(s):  
Phytochemical Analysis ◽  
Local Market ◽  
Herbal Drugs ◽  
Disease Treatment ◽  
Organoleptic Evaluation ◽  
Plumbago Zeylanica ◽  
Qualitative And Quantitative ◽  
Crude Drugs ◽  
Phytochemical Studies

The objective of the present study is to evaluate the quality of the marketed and self collected samples of Plumbago zeylanica L. roots on the standardization parameters. This study is planned mainly to confirm changes with quality of drug. Now a day’s more demand of herbal drugs for disease treatment, lack of knowledge of proper methodology and availability are promoting the practices of adulteration and substitution. Thus, the standardization of the plant crude drugs is necessary to maintain their therapeutic efficacy. Comparative studies were carried out to evaluate the standards of P. zeylanica L. with emphasis on organoleptic evaluation, physicochemical and phytochemical analysis. Samples were procured from local market and self collected to determine the qualitative and quantitative variations. The result indicates that self collected sample showed significant results with comparison to marketed sample.

Quantitative and Qualitative Characteristics of Urban Discharge to Small River Basins in the South West of Sweden

1983 ◽  
Vol 14 (3) ◽  
pp. 155-166 ◽  
Author(s):  
Wm. Hogland ◽  
R. Berndtsson
Keyword(s):  
River Basins ◽  
Small River ◽  
The South ◽  
Time Intervals ◽  
Qualitative And Quantitative ◽  
South West ◽  
Quantitative Characteristics ◽  
Qualitative Characteristics ◽  
Qualitative And Quantitative Characteristics

The paper deals with the qualitative and quantitative characteristics of urban discharge. Ratios for urban discharge and recipient flow during different time intervals are presented and discussed. The quality of the urban discharge is illustrated through pollutographs.

scholarly journals Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

2021 ◽  
Vol 9 (6) ◽  
pp. 570
Author(s):  
Qingliang Jiao ◽  
Ming Liu ◽  
Pengyu Li ◽  
Liquan Dong ◽  
Mei Hui ◽  
...  
Keyword(s):  
Image Restoration ◽  
Qualitative And Quantitative Analysis ◽  
Formation Model ◽  
High Quality ◽  
Thermal Exchange ◽  
Qualitative And Quantitative ◽  
Smooth Variation ◽  
Underwater Image ◽  
Dark Channel

The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of underwater images. Finally, the restored image can be estimated via the image formation model. The results show that the proposed algorithm can output high-quality images, according to qualitative and quantitative analysis.

scholarly journals Modeling and image quality enhancement for dynamic compressive imaging system

2021 ◽  
Vol 15 ◽  
pp. 174830262110080
Author(s):  
Changjun Zha* ◽  
Qian Zhang* ◽  
Huimin Duan
Keyword(s):  
Image Quality ◽  
Imaging System ◽  
Quality Enhancement ◽  
Target Image ◽  
Compressive Imaging ◽  
Image Quality Enhancement ◽  
System A ◽  
Single Column ◽  
The Impact

Traditional single-pixel imaging systems are aimed mainly at relatively static or slowly changing targets. When there is relative motion between the imaging system and the target, sizable deviations between the measurement values and the real values can occur and result in poor image quality of the reconstructed target. To solve this problem, a novel dynamic compressive imaging system is proposed. In this system, a single-column digital micro-mirror device is used to modulate the target image, and the compressive measurement values are obtained for each column of the image. Based on analysis of the measurement values, a new recovery model of dynamic compressive imaging is given. Differing from traditional reconstruction results, the measurement values of any column of vectors in the target image can be used to reconstruct the vectors of two adjacent columns at the same time. Contingent upon characteristics of the results, a method of image quality enhancement based on an overlapping average algorithm is proposed. Simulation experiments and analysis show that the proposed dynamic compressive imaging can effectively reconstruct the target image; and that when the moving speed of the system changes within a certain range, the system reconstructs a better original image. The system overcomes the impact of dynamically changing speeds, and affords significantly better performance than traditional compressive imaging.

STRATEGI PENGEMBANGAN BISNIS BADAN USAHA MILIK PETANI (BUMP) PT PADI ENERGI PROKLAMASI DI KABUPATEN KARAWANG, JAWA BARAT

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Doni Sahat Tua Manalu
Keyword(s):  
Environmental Conditions ◽  
Central Area ◽  
Rice Production ◽  
Quality Of Services ◽  
Qualitative And Quantitative ◽  
The Matrix ◽  
Swot Matrix ◽  
Weighted Score ◽  
Quantitative Descriptive

Currently some areas of Indonesia are being developed Badan Usaha Milik Petani (BUMP) as a form of institutional agribusiness, especially in the central area of rice production. Karawang regency is one of the regions in Indonesia who have great potential in rice production. BUMP PT Padi Energi Proklamasi is one that stands in the Karawang regency, West Java. This research aims to identify environmental external factors into opportunities and threats as well as the company's internal environmental factors that the company's strengths and weaknesses, formulate alternative strategies that the company can run according to environmental conditions and analyze the company's strategic priorities that can be run by enterprises in accordance with the company's environmental conditions. Data analysis was carried out qualitative and quantitative descriptive with EFE matrix-IFE, IE Matrix, SWOT matrix and QSPM. EFE matrix evaluation results in a score of 3.148 indicates that the BUMP PT Padi Energi Proklamasi respond both opportunities and threats that exist in the industry well. Based on the matrix IFE total weighted score is 3.684. The results obtained from processing QSPM priority strategies that can be run by BUMP PT Padi Energi Proklamasi is improving the quality of services to members through the existing facilities and infrastructure as well as government policies and others who support the business with the highest value that is equal to TAS 7.147. Keywords : Strategy, Institutional Agribusiness, BUMP PT Padi Energi Proklamasi

Public health as a basic condition for the socio-economic development of the region

2021 ◽  
pp. 18-24
Author(s):  
А.Н. Гайфуллин
Keyword(s):  
Economic Development ◽  
Standard Of Living ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Socio Economic Development ◽  
Quantitative Characteristics ◽  
The Subject ◽  
Health Situation ◽  
Qualitative And Quantitative Characteristics

Социально-экономическое развитие есть планомерная процедура совершенствования уровня жизни, качественных и количественных характеристик, потребляемых общественностью благ. Исходя из ситуации со здоровьем населения в регионе, выставляются соответствующие ориентиры. В разрезе региональной специфики закладываются и реализуются целевые программы, которые одновременно зависят от здоровья населения и направлены, собственно, на улучшение качества его здоровья. Согласно тематике настоящей статьи, ведущий фактор социально-экономического роста - здоровье населения, именно он будет оценен как катализатор искомого регионального развития. Socio-economic development is a systematic procedure for improving the standard of living, qualitative and quantitative characteristics of the goods consumed by the public. Based on the health situation of the population in the region, appropriate guidelines are set. In the context of regional specifics, targeted programs are being laid and implemented, which at the same time depend on the health of the population and are aimed, in fact, at improving the quality of its health. According to the subject of this article, the leading factor of socio-economic growth is the health of the population, it will be evaluated as a catalyst for the desired regional development.

Automatic verification method of progressive image model matching information based on machine learning

2021 ◽  
pp. 1-10
Author(s):  
Jie Yuan ◽  
Yuan Ji ◽  
Zhou Zhu ◽  
Liya Huang ◽  
Junfeng Qian ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Design Method ◽  
Large Error ◽  
Model Matching ◽  
Target Image ◽  
Image Model ◽  
Verification Method ◽  
Low Performance

In order to solve the problems of large error and low performance of traditional progressive image model matching information checking methods, an automatic progressive image model matching information checking method based on machine learning is proposed. The generation method of progressive image is analyzed, and the target image sample is obtained. On this basis, machine learning algorithm is used to segment progressive image samples. In each image segmentation part, crawler technology is used to automatically collect progressive image model matching information, and under the constraint of image model matching information checking standard, automatic checking of progressive image model matching information is realized from geometric structure, image content and other aspects. Experimental results show that the verification error of the design method is reduced by 0.687 Mb, and the quality of progressive image is improved.

Land-uses as Quality of Making Successful Streets in Sulaimaniya City Centre, Iraq

2021 ◽  
Author(s):  
Musaab Al-Obeidy ◽  
Keyword(s):  
Global Positioning System ◽  
Structured Interview ◽  
City Centre ◽  
Key Factors ◽  
City Center ◽  
Qualitative And Quantitative ◽  
Points Of Interest ◽  
Global Positioning ◽  
Questionnaire Surveys

Although, the diverse activities and uses are one of the significant key factors to improve quality of streets, some places and shops in Mawlawi Street are disappeared or used by few number of people, while others are used by high number of people. Moreover, just some attractions and points of interest (POIs) are located in the Global Positioning System (GPS). This issues lead to lake of finding urban diversity in Mawlawi Street. This paper examines and find out the diversity of activities and uses that improves the quality of streets and makes successful streets in Sulaimaniya City Centre. It is also to identify POIs provided in GPS. The study employed a mix-methodology method. 330 questionnaire surveys, 20 semi-structured interview, and qualitative and quantitative observation, were conducted in Mawlawi Street. The results show that the diverse activities and choices are important key to make streets of Sulaimaniya City Center successful. There is also a need to define and insert many places on map for enhancing diversity. To secure the quality of the Street, this study suggests to improve the quality of goods and shops, provide night activities, and refresh some left places and shops along the Street.

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