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Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

Journal of Computer and Communications 2019年第3期7卷 8-18页

作者： Umme Sara morium akter Mohammad Shorif Uddin National Institute of Textile Engineering and Research Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image quality is being assessed by full reference metrics, like MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio). In contrast to MSE and PSNR, recently, two more full reference metrics SSIM (Structured Similarity Indexing Method) and FSIM (Feature Similarity Indexing Method) are developed with a view to compare the structural and feature similarity measures between restored and original objects on the basis of perception. This paper is mainly stressed on comparing different image quality metrics to give a comprehensive view. Experimentation with these metrics using benchmark images is performed through denoising for different noise concentrations. All metrics have given consistent results. However, from representation perspective, SSIM and FSIM are normalized, but MSE and PSNR are not;and from semantic perspective, MSE and PSNR are giving only absolute error;on the other hand, SSIM and PSNR are giving perception and saliency-based error. So, SSIM and FSIM can be treated more understandable than the MSE and PSNR.

关键词： Image Quality Computer Simulation Gaussian Noise Denoising

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Simulation of Hazy Image and Validation of Haze Removal Technique

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Journal of Computer and Communications 2019年第2期7卷 62-72页

作者： Aditi Sarker morium akter Mohammad Shorif Uddin Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Haze hampers the performance of vision systems. So, removal of haze appearance in a scene should be the first-priority for clear vision. It finds wide spectrum of practical applications. A good number of dehazing techniques have already been developed. However, validation with the help of ground truth i.e. simulated haze on a clear image is an ultimate necessity. To address this issue, in this work synthetic haze images with various haze concentrations are simulated and then used to confirm the validation task of dark-channel dehazing mechanism, as it is a very promising single image dehazing technique. The simulated hazy image is developed using atmospheric model with and without Perlin noise. The effectiveness of dark-channel dehazing method is confirmed using the simulated haze images through average gradient metric, as haze reduces the gradient score.

关键词： Haze Simulation Validation Perline Noise Depth Map Dark-Channel Prior

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A Survey on Matching of Shoeprint with Reference Footwear in Forensic Study

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Journal of Computer and Communications 2019年第9期7卷 19-26页

作者： Md. Al Mamun morium akter Mohammad Shorif Uddin Department of Computer Science and Engineering Jahangirnagar University Savar Bangladesh

Footwear impression marks on the outside surface of shoes are distinctive patterns and an important forensic clue often found at offense scenes. However, in many cases, the footwear mark is treated with improper evidence due to difficulties in visibility and understanding. This paper presents a thorough review of matching algorithms along with enhancement techniques of shoeprint in the forensic study. Finally, it shows some research directions.

关键词： Forensic Study Footwear Shoeprint Feature Extraction Segmentation

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Implementation and Analysis of an IoT-Based Home Automation Framework

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Journal of Computer and Communications 2021年第3期9卷 143-157页

作者： Sk. Fahmida Islam Md. Iqramul Hasan morium akter Mohammad Shorif Uddin Department of Computer Science and Engineering Jahangirnagar University Savar Dhaka Bangladesh

The pervasive advancement in the field of an autonomous system is significantly influenced by the concept of integrating a large number of devices. The use Internet of Things (IoT) has increased day by day for making connected devices over the internet. Besides, mobile sensing devices operated by IoT including smartphones, tablets, digital cameras, sensors, etc. are providing access to a large variety of data and services based on human interaction. In this paper, the implementation and analysis of an IoT-based home automation framework using NodeMCU through the MQTT protocol are described. This helps the users to monitor and control home appliances from remote places by using a mobile application over the internet.

关键词： Sensors IoT Firmware Home Automation Node MCU MQTT Broker

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