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30 articles for “Coloured Images”
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Estimation of JPEG Image Compression for Colour Images Using the Forensic Detector
Abstract: Multimedia items would be required to transmit the secret information between the sender and recipient in order to raise the security level imposed on them. Watermarking is the most frequently habituated system for adding security to photos. In numerous cases, using a watermarking strategy to give security isn't feasible. Because the security communication is visible, hackers may add a watermark on the original image, just like the sender did, and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 7–11 Read article
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A GAN Based Automatic Image Colourizer
Abstract: A fascinating skill in computer vision under Artificial intelligence is the technique of automatically changing monochrome photos into colour ones without human assistance. When a substantial annotated dataset is not readily accessible, transfer learning is commonly employed as the preferred approach. Typically, this involves utilizing pre-trained models with extensive general knowledge gained from training on ImageNet, which are subsequently fine-tuned to cater to specific tasks. From the utility point of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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COLOUR IMAGE ENCRYPTION AND COMPRESSION USING HYPER-CHAOTIC SYSTEM AND DCT DICTIONARY
Abstract: Image encryption and compression has received a lot of attention nowadays since large amount of information is transmitted through public networks. Encrypting the image after compression will sacrifice the flexibility and increases the complexity of the process. So the better method is the joint operation of encryption and compression in single step. The hyper-chaos based colour image image encryption and compression which is based on the scrambling and diffusion is …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 27–32 Read article
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Analysis of the Various Eyes Images using Colour Segmentation Techniques and their Noise effects
Abstract: AbstractThe introduction of computer technology image-processing techniques have gradually becomes more important in a broad variety of applications. Image segmentation is a classic subject in the field of image processing with the enhancement of computer processing capabilities and the increased application of colour image, the colour image segmentation are additional concerned by the researchers. In areas of image processing, colour segmentation has been and still it is very important research …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 4–11 Read article
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Enhancing Radiographic Dental Image Visualisation with Colourisation and Graphical User
Abstract: Radiography has been used in dentistry to find cavities, bone loss, hidden dental structures, tumour, and cysts. Due to the monochromatic characteristic of X-ray images, it is difficult to discern disorders and explain the diagnosis procedure. Enhance the visualization of X-rays is one of the ways to ease the work of the dentist. There were several studies to enhance visualization by giving pseudo colour shades to monochromatic images. The conclusion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 7–19 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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Real-Life Demonstration on the Surface-Driven Capillary Flow in Microfluidic Devices
Abstract: AbstractIn this research paper, glass and PMMA are chosen as materials to fabricate the microfluidic devices due to the optical transparency of these materials. The microfluidic devices are fabricated by the maskless lithography (non-contact lithography), hot embossing lithography (contact lithography), indirect bonding technique, and direct bonding technique. The surface-driven capillary flow is recorded corresponding to each microfluidic device by a CMOS camera. The colour-images are compared with the gray-scale-images for …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 2, 2016 · pp. 8–17 Read article
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Feature Extraction to Detect Diabetic Retinopathy and Glaucoma in Fundus Image
Abstract: Visual impairment due to various eye-related diseases can be largely prevented through regular fundus colour image screening. Large scale screening of the retinal image in the early stages is crucial to disease diagnosis. It is reported that the number of ophthalmologist ratios is very low. Hence, the computer-aided screening is required where the diagnosis of disease from an image is done from the main features of the fundus image. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 9–12 Read article
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Embedding Dual Watermark in the G-Channel Image Using DCT and 2-D Walsh Code
Abstract: This paper uses two dimensional Walsh coding for blind twofold watermarking algorithm which mixes robust copyright watermark and authentication information into various color images to maintain the copyright ownership of the host images. First watermark i.e. fingerprint image is embedded in the DCT low frequency coefficients of the G-channel image of host image where as the second watermark i.e. mobile phone number is embedded in the DCT block of G-channel …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 27–34 Read article
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Effects of Channel Volume and Channel Aspect Ratio on the Surface-Driven Capillary Flow of Dyed Water in Sudden Expansion Microchannels Fabricated by Polymer
Abstract: In this experimental work, total three individual sudden expansion microchannels (microfluidic devices) are fabricated by polymethylmethacrylate (PMMA) using the maskless lithography, hot embossing lithography and direct bonding technique. Dyed water is prepared and used as the selected working liquid. Channel aspect ratio (channel height/channel width) is defined and used as the structural parameter in this work. Diffusion coefficient is used as the flow parameter. Effect of channel volume on the …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 10, Issue 2, 2020 · pp. 18–24 Read article
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Automatic Material Sorting and Storage using PLC
Abstract: This system is an industrial automation based application and it needs to satisfy industry requisition. Nowadays in various industry applications object sorting is done in different ways from which colour sorting is one of them. In material sorting system using Programmable Logic Controller (PLC) object are identified based on their colour through image processing. To capture the real-time image of the object camera is used. Here conveyor used is to …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 17–24 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Analysis of Prior Based Fog Removal Methods
Abstract: Fog is defined as the weather condition in which visibility becomes less than 1000 m. Fog is caused due to plenty of reasons like bad weather, pollution, drizzle etc. Images degraded by fog have poor contrast and colour allegiance. The efficiency of image-based applications highly degrades due to foggy input images. So fog removal of images is a necessary task in computer vision applications and computational photography. This paper highlights …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 29–37 Read article
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Abstract: Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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Plant Leaf Sickness Recognition Using Image Processing
Abstract: This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 26–31 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article