Top Research Papers on Image Processing

Medical imaging (MI) [...]

A novel approach for forest fire detection using image processing technique and a rule based color model for fire pixel classification is used, which has both higher detection rate and lower false alarm rate.

The main objective of this research is the process of sorting chicken eggs using image processing techniques, and the system was able to separate the eggs correctly.

The review is divided into three main sections, each dealing one of the three preceding topics, each focused to the needs of someone needing a refresher in one of these topics.

This paper discusses the applicability of digital image processing to one particular field, that of medical radiography, and presents fundamental techniques which are broadly applicable to a number of applications.

An Invertible Image Signal Processing (InvISP) pipeline is designed, which not only enables rendering visually appealing sRGB images but also allows recovering nearly perfect RAW data.

Optical metasurfaces have been recently explored as ultrathin analog image differentiators. By tailoring the momentum transfer function, they can perform efficient Fourier-filtering - and thus potentially any linear mathematical operation - on an input image, replacing bulky 4f systems. While this approach has been investigated in different platforms, and several techniques have been explored to achieve the required angular response, little effort has been devoted so far to tailor and control also the polarization response of an image-processing metasurface. Here, we show that edge-detection m...

A reconfigurable metasurface that can be dynamically tuned to provide a range of processing modalities including bright-field imaging, low-pass and high-pass filtering, and second-order differentiation is demonstrated.

The Weber–Fechner law is applied to the grayscale mapping in logarithmic space and the proposed algorithm adaptively reduces the impact of non-uniform illumination on the image, and the enhanced image is clear and natural.

The proposed MAXIM model achieves state-of-the-art performance on more than ten benchmarks across a range of image processing tasks, including denoising, deblurring, de raining, dehazing, and enhancement while requiring fewer or comparable numbers of parameters and FLOPs than competitive models.

The original GrabCut model is reviewed, the improved algorithms that are new or important based on GrabCut in recent years are reviewed, and they are classified in terms of pre-processing based on superpixel, saliency map, energy function modification, non-interactive improvement and some other improved algorithms.

There looks to be a great requirement for the development or standardization of existing methodology and it is also needed to construct standard public dental datasets to attract a greater number of research groups in the dental field.

Artificial intelligence (AI) is currently becoming a leading field in data processing [...].

Here it is shown that one can choose how to illuminate the object, such that the reconstruction process behaves like a spatial filtering operation on the image, and as a simple example the case of an edge-detection filter is shown.

The proposed study uses a deep learning algorithm to detect weeds growing between crops and extracts features of crop using deep learning using Convolutional neural network.

This research specifically delves into the impact of pre-processing on the binary classification model performance, rather than model and hyperparameter optimization, and investigates the pre-processing steps employed in the best and worst-performing models, determined by the higher and lower mean sensitivities.

This paper provides an overview of digital image processing techniques implemented in Python, focusing on common tasks and operations such as image enhancement, restoration, segmentation, feature extraction, and pattern recognition.

In this review, the working principles of an image sensor and conversion of light to electrical signals and subsequently to an image are presented and the functional differences between the CCD and CMOS sensors are presented.

Today, computer vision is considered one of the most important sub-fields of artificial intelligence, due to the variety of its applications and capabilities to transfer the human ability to understand and describe a scene or image to the computer, so that it becomes able to recognize objects, shapes, colors, behavior and other capabilities of understanding the image. Image processing is one of the branches of computer science, and it is a way to perform some operations on an image in order to obtain an improved model for this image or extract some useful information from it. Often the data th...

This paper presents recent development and applications in the image processing systems in order to move forward the research filed by reviewing and analyzing recent achievements in the published papers.

The deep learning algorithm was observed to provide high accuracy, it outperformed other generally image processing-based techniques and expected future development trends were also discussed.

A few research grand challenges for future imaging and video systems are highlighted, in order to achieve breakthroughs to meet the growing expectations of end users.

This paper has used hybrid parallel thinning algorithm to obtain the skeleton of the binary image which contains one pixel width which preserves the topological properties and retains the connectivity.

This study aims to highlight the recent research in deepfake images and video detection, such as deepfake creation, various detection algorithms on self-made datasets, and existing benchmark datasets, as well as how to counter the threats from deepfake technology and alleviate its impact.

In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results, it is possible to locate thermal occurrences in the coordinate system and to determine their scale, length, area or volume. However, photogrammetric processing of TIR images is difficult due to negative factors which are caused by the natural character of TIR images. Among the negative factors are...

The role of medical image computing in oncology is growing stronger, not least due to the unprecedented advancement of computational AI techniques, providing a technological bridge between radiology and oncologists, which could significantly accelerate the advancement of precision medicine throughout the cancer care continuum.

This paper shows that there is a very high correlation of performance of different operations of image processing like characteristics of lossless and lossy compression, blind variance estimation and denoising and so on.

It is argued “quantum image classification and recognition” would be the most significant opportunity to exhibit the real quantum superiority and dwell on the challenges for this opportunity in the era of NISQ (Noisy Intermediate-Scale Quantum).

This paper provides a survey of the components of Digital Image Processing (DIP) as well as the recent developments in Image Processing technology and DIP applications.

A prototype sign language interpreter that can converse in American Sign Language (ASL) is presented in this study and the suggested system recognizes letters, numbers, and certain common words in sign language.

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It can be seen that the detection method of image processing technology is better in the detection of crop diseases and insect pests.

The proposed method reversibly achieves not only CE and saturation improvement but also sharpening or smoothing and brightness increases or decreases and ensures full reversibility and thus perfectly reconstructs raw images in any case.

The goal of image processing is to robustly extract useful, high-level information from images and video to help improve the performance of general-purpose processor implementation.

The importance of image preprocessing techniques such as noise reduction, image enhancement, and geometric transformations in improving image quality and extracting valuable information and the role of image segmentation, object detection, and recognition algorithms in identifying and classifying objects within images are explored.

This research contributes a versatile toolkit for researchers, practitioners, and enthusiasts in the field of digital image processing, catering to diverse applications from medical imaging to computer vision.

This work suggests using new technology that is built on pieces of artificial intelligence that can read the writing from a page and recognize the useful information, converting it into a digital version.

An image processing filter for correcting a pixel value of an image includes aflatness calculation unit 40 for calculating a flatness of distribution of pixel values of surrounding pixels positioned on the periphery of a target pixel to be filtered.

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The detection system has been designed for diagnosing melanoma in early stages by using digital image processing techniques and has many steps like preprocessing, segmentation, feature extraction and detection process which give the acceptable results for skin cancer detection problems.

An image processing system is comprised of a conversion parameter calculating means, a initial image generating mean, a high resolution image generating means, and an input image and conversion parameter memory means.

The image processing device of the invention comprises input means for inputting an image obtained by photographing cells, and generation means for generating the diagnostic support information from the area to be diagnosed.

There is provided an image processing device which is able to generate a display image of virtual section, which is equivalent to an image of an observation view field of an optical microscope, corresponding to a predetermined number field of a microscope.

An image processing system that can verify the authenticity of notes in Indian rupee is described.

An object of the present invention is to capture an image that can give the feeling as the virtual object is present in the as if the real space to the user.

The image processing apparatus of the present invention includes an acquisition unit for an object from multiple directions to obtain a plurality of images being captured, a calculation unit that calculates a value indicating the quality of the image, and an execution unit for executing the processing defined.

An image processing device capable of generating a virtual slide display image having an equivalent observation visual field to that visible in an optical microscope image is demonstrated.

Morphological Image Processing is a useful tool in digital image processing because it can rigorously quantify many features of the geometrical structure of a way that is consistent with human intuition and perception.

The main goal of the Image Process project is to extract important information from photographs that allows users to obtain the text of picture processing printing processes and to save the data to disc in a variety of formats.

The work outlines the basic ideas behind artificial intelligence and its use in different areas and making accent on the capabilities of the technology when using tools powered by artificial intelligence to understand the meaning of the provided picture.