Introduction to Color Enhancement

What is/are Color Enhancement?

Color Enhancement - Our objective was to determine the type of interaction between whey proteins (WP) and ACN leading to color enhancements and to determine the role of the ACN chemical structure in this interaction. ^[1] Native WP showed more color enhancement and protection than thermally-induced WP. ^[2] It is shown that the proposed method can realize the image color constancy, local dynamic range compression, color enhancement, and the overall dynamic range compression under certain circumstances. ^[3] The study emphasizes the importance of carotenoids in the commercial tilapia industry and highlights the potential of the plant extracts for integration and development of feeds for color enhancement in red tilapia. ^[4] However, these sapphire varieties are generally heat treated for color enhancement. ^[5] Second, based on HSI color space, the color enhancement and fog removal of the haze image model is proposed, and a haze image-transmittancegallery is constructed. ^[6] After TMA core extraction and color enhancement, five different flows of independent and ensemble deep learning were applied. ^[7] Our experimental results demonstrated that the proposed method successfully performed the fusion of RGB and NIR images with noise reduction, detail preservation, and color enhancement. ^[8] These hormones showed an effective result in plant growth, flowering, fruiting, aging, senescence, color enhancement of fruits, prevention or promotion of stem elongation, leafing, leaf fall, shoot, root. ^[9] Color enhancement of the captured breast image is an important consideration for early detection of tumor at this stage. ^[10] The theory of digital image processing is applied to geotechnical CT image processing to realize pseudo-color enhancement of CT image, and the histograms of different geotechnical CT numbers are obtained. ^[11] Vision signals are first captured by image sensor and processed in image signal processing (ISP) which includes domain conversion, 3D noise reduction, color enhancement, etc. ^[12] This experiment was aimed to understand the effect of partial replacement of fish meal with Spirulina meal in percula clownfish Amphiprion percula diet on its growth, survival, and color enhancement. ^[13] The ganglion cells with color-opponent mechanism are used for color enhancement and color correction. ^[14] The color enhancement of images has given object as input to H-LSTM function to identify the objects based on the referential shape and color. ^[15] Quantitative evaluation of the performance is done in terms of color enhancement, contrast enhancement factor, and perceptual quality measure. ^[16] To overcome these challenges, color enhancement and automatic color identification techniques, based on QuadTree segmentation and modeled after expert color assessments, are developed. ^[17] Fine jewelry-grade rubellites are relatively rare; therefore, color enhancement are normally required on natural samples. ^[18] deburring of zoomed part, removal of noise, color enhancement and so on but are computationally complex or hard to implement in real-time environment whereas some are very simple to use (such as, interpolation based, wavelet based algorithms) but lack quality for e. ^[19]

flexible spectral imaging

Autofluorescence imaging, i-scan, flexible spectral imaging color enhancement, and bright image enhanced endoscopy show promise but insufficient evidence to change current clinical practice. ^[1] The color difference (ΔE) between the polyp surface and the surrounding mucosa was calculated using the CIE1976 L*a*b* color space method on white light (WL), flexible spectral imaging color enhancement (FICE), and blue mode (BM) CP images. ^[2] Therefore, we focused on the visibility of early gastric cancer on ultrathin endoscopy with Flexible spectral imaging color enhancement (FICE) in this study. ^[3] Goals: The main aim of this study was to investigate the significance of a pale area via flexible spectral imaging color enhancement (FICE) in the diagnosis of esophageal dysplasia and cancer. ^[4] Demographic and professional information was gathered and endoscopic images of various colonic lesions were shown and they were requested to classify the images based in white light, flexible spectral imaging color enhancement (FICE), iScan, and narrow band imaging (NBI). ^[5] Flexible spectral imaging color enhancement (FICE) technique uses the reflectance spectrum estimation technique to obtain individual spectral images and reconstructs an enhanced image of the mucosal surface using three selected spectral images. ^[6]

narrow band imaging

Although dye-chromoendoscopy is still recommended as the gold standard approach in dysplasia surveillance, recent research questioned the superiority of this technique over new advanced dye-less modalities [narrow band imaging (NBI), Fuji intelligent color enhancement (FICE), i-scan, blue light imaging (BLI) and linked color imaging (LCI)]. ^[1] ), employing water-based techniques, the use of addon devices during colonoscopy (cap, endocuff, endorings, G-EYE), enhanced imaging modalities (chromoendoscopy, narrow band imaging, blue laser imaging, and flexible spectral imaging color enhancement), retroflexion in the right colon, and the use of a second forward view [4] and dynamic position change during colonoscopy [5–7]. ^[2] The modalities, comprising of standard-definition white light (SDWL), high-definition white light (HDWL), narrow-band imaging (NBI), autofluorescence imaging (AFI), PENTAX image enhanced technology (i-SCAN), Fuji Intelligent Color Enhancement (FICE), dye-based chromoendoscopy and novel image enhanced systems, including blue laser imaging (BLI) and linked color imaging (LCI), were compared to identify the most efficient modalities that could be used to detect colorectal lesions. ^[3] Electronic dyeing technology is a new technique used in endoscopy in recent years, which mainly includes narrow band imaging and flexible spectral imaging color enhancement. ^[4]

image enhanced endoscopy

Texture and color enhancement imaging (TXI) has been developed as an image-enhanced endoscopy technology. ^[1] In 2020, Olympus Medical Systems Corporation introduced the Texture and Color Enhancement Imaging (TXI) as a new image-enhanced endoscopy. ^[2] Linked color imaging (LCI), a novel image-enhanced endoscopy technology with strong, unique color enhancement, is used for easy recognition of early gastric cancer and detection of Helicobacter pylori infection. ^[3]

Imaging Color Enhancement

Autofluorescence imaging, i-scan, flexible spectral imaging color enhancement, and bright image enhanced endoscopy show promise but insufficient evidence to change current clinical practice. ^[1] The color difference (ΔE) between the polyp surface and the surrounding mucosa was calculated using the CIE1976 L*a*b* color space method on white light (WL), flexible spectral imaging color enhancement (FICE), and blue mode (BM) CP images. ^[2] ), employing water-based techniques, the use of addon devices during colonoscopy (cap, endocuff, endorings, G-EYE), enhanced imaging modalities (chromoendoscopy, narrow band imaging, blue laser imaging, and flexible spectral imaging color enhancement), retroflexion in the right colon, and the use of a second forward view [4] and dynamic position change during colonoscopy [5–7]. ^[3] Therefore, we focused on the visibility of early gastric cancer on ultrathin endoscopy with Flexible spectral imaging color enhancement (FICE) in this study. ^[4] Goals: The main aim of this study was to investigate the significance of a pale area via flexible spectral imaging color enhancement (FICE) in the diagnosis of esophageal dysplasia and cancer. ^[5] Electronic dyeing technology is a new technique used in endoscopy in recent years, which mainly includes narrow band imaging and flexible spectral imaging color enhancement. ^[6] Demographic and professional information was gathered and endoscopic images of various colonic lesions were shown and they were requested to classify the images based in white light, flexible spectral imaging color enhancement (FICE), iScan, and narrow band imaging (NBI). ^[7] Flexible spectral imaging color enhancement (FICE) technique uses the reflectance spectrum estimation technique to obtain individual spectral images and reconstructs an enhanced image of the mucosal surface using three selected spectral images. ^[8]

Intelligent Color Enhancement

These include the suspected blood indicator (SBI), automated fast viewing modes including QuickView, lesion characterization tools such Fuji Intelligent Color Enhancement, and three-dimensional (3D) representation tools. ^[1] Although dye-chromoendoscopy is still recommended as the gold standard approach in dysplasia surveillance, recent research questioned the superiority of this technique over new advanced dye-less modalities [narrow band imaging (NBI), Fuji intelligent color enhancement (FICE), i-scan, blue light imaging (BLI) and linked color imaging (LCI)]. ^[2] The modalities, comprising of standard-definition white light (SDWL), high-definition white light (HDWL), narrow-band imaging (NBI), autofluorescence imaging (AFI), PENTAX image enhanced technology (i-SCAN), Fuji Intelligent Color Enhancement (FICE), dye-based chromoendoscopy and novel image enhanced systems, including blue laser imaging (BLI) and linked color imaging (LCI), were compared to identify the most efficient modalities that could be used to detect colorectal lesions. ^[3] Goals: The aim of this study was to analyze the performance of Fuji Intelligent Color Enhancement (FICE) using the classification of Kudo in the differentiation of neoplastic and non-neoplastic raised lesions in ulcerative colitis (UC). ^[4]

Image Color Enhancement

This book chapter provides you some details how the machine learning is used in image processing and to solve the current problem and challenge in computer vison like: Denoising, Image compression, Image color enhancement, segmentation, etc. ^[1] The proposed natural-based underwater image color enhancement (NUCE) method consists of four steps. ^[2] Addressing these problems, we propose a novel cloud based privacy-preserving approach for image color enhancement in this paper. ^[3]

color enhancement method

A novel adaptable sonar image pseudo-color enhancement method using CIELab space is introduced in this paper. ^[1] Moreover, we proposed a color enhancement method to further improve ArchColGAN. ^[2] Experimental results show that the proposed scheme is effective to suppress the hue distortion due to two color enhancement methods including a deep-learning based one. ^[3] We also proposed lightness adjustment and color enhancement methods to deal with the reduced visibility caused by the fused visualization. ^[4] Specifically, first, we preprocess the histological images using scale transformation and color enhancement methods. ^[5] A color probability model based on YCbCr space and an improved color enhancement method based on MSER are proposed to detect Candidate Areas (CA). ^[6]

color enhancement imaging

The color tone of melanosis became sharpened using texture and color enhancement imaging. ^[1] Texture and color enhancement imaging (TXI) has been developed as an image-enhanced endoscopy technology. ^[2] We propose an image enhancement technology to resolve the drawbacks above called texture and color enhancement imaging (TXI). ^[3] The new Texture and Color Enhancement Imaging (TXI; Olympus, Tokyo, Japan) that enhances the texture and corrects the color tone and brightness was initially designed to better detect and assess margins of early neoplasia [2]. ^[4] In 2020, Olympus Medical Systems Corporation introduced the Texture and Color Enhancement Imaging (TXI) as a new image-enhanced endoscopy. ^[5]