標(biāo)題: Titlebook: Color Image and Video Enhancement; Emre Celebi,Michela Lecca,Bogdan Smolka Book 2015 Springer International Publishing Switzerland 2015 Cl [打印本頁(yè)] 作者: 相持不下 時(shí)間: 2025-3-21 18:34
書目名稱Color Image and Video Enhancement影響因子(影響力)
書目名稱Color Image and Video Enhancement影響因子(影響力)學(xué)科排名
書目名稱Color Image and Video Enhancement網(wǎng)絡(luò)公開度
書目名稱Color Image and Video Enhancement網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Color Image and Video Enhancement被引頻次
書目名稱Color Image and Video Enhancement被引頻次學(xué)科排名
書目名稱Color Image and Video Enhancement年度引用
書目名稱Color Image and Video Enhancement年度引用學(xué)科排名
書目名稱Color Image and Video Enhancement讀者反饋
書目名稱Color Image and Video Enhancement讀者反饋學(xué)科排名
作者: scoliosis 時(shí)間: 2025-3-21 20:54
Image Demosaicing,rough a color filter array. Traditional interpolation strategies generate undesirable color artifacts in the demosaiced image, so as a result, many specialized algorithms have been developed to improve performance. In this chapter, we introduce the demosaicing problem and explore five representative作者: Spangle 時(shí)間: 2025-3-22 04:12
DCT-Based Color Image Denoising: Efficiency Analysis and Prediction,techniques have been proposed, they are not universally efficient in all considered practical situations. There are also contradictory requirements to color image denoising and their priority can be different and strongly dependent on the situation at hand. This also complicates the choice of a prop作者: 啟發(fā) 時(shí)間: 2025-3-22 05:54
Impulsive Noise Filters for Colour Images,vice (CCD) sensor malfunction, transmission errors, storage faults and difficult acquisition conditions. The presence of noise hampers the automatic processing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise作者: Harpoon 時(shí)間: 2025-3-22 10:33 作者: Cardiac 時(shí)間: 2025-3-22 16:11
The Color Logarithmic Image Processing (CoLIP) Antagonist Space,ly well justified since it is consistent with several human visual perception laws and characteristics. It is mathematically and computationally relevant since it allows to consider color images as vectors in an abstract linear space, contrary to the classical color spaces (e.g., RGB and .). The fir作者: Cardiac 時(shí)間: 2025-3-22 19:30 作者: 昆蟲 時(shí)間: 2025-3-22 22:16
A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Alge color images. This chapter presents a real-time implementation of an adaptive contrast-enhancing image dynamic range compression algorithm on a graphics processing unit (GPU) for color image enhancement. To achieve this purpose, an image-dependent nonlinear intensity transfer function is first pr作者: 他很靈活 時(shí)間: 2025-3-23 04:41
Color Equalization and Retinex,ther discern colors nor adapt to different imaging environments as a human does. Consequently, it may produce images having a bad visual effect under a bad imaging environment. Color equalization and color constancy are two efficient and common techniques for image visual effect enhancement. In this作者: 種植,培養(yǎng) 時(shí)間: 2025-3-23 09:13 作者: Fecundity 時(shí)間: 2025-3-23 13:09
Enhancement of Image Content for Observers with Colour Vision Deficiencies,ecognition and differentiation. As the use of colour to convey visual information in contemporary digital environment increases, it becomes more justified to tackle the issue of information accessibility. What colour-impaired observers actually see is of high value for understanding their visual pro作者: 擁護(hù) 時(shí)間: 2025-3-23 14:37 作者: ADJ 時(shí)間: 2025-3-23 20:42 作者: Phonophobia 時(shí)間: 2025-3-23 23:53 作者: 是他笨 時(shí)間: 2025-3-24 04:32
https://doi.org/10.1007/978-3-030-20411-2rough a color filter array. Traditional interpolation strategies generate undesirable color artifacts in the demosaiced image, so as a result, many specialized algorithms have been developed to improve performance. In this chapter, we introduce the demosaicing problem and explore five representative作者: GIBE 時(shí)間: 2025-3-24 09:16
Dariusz Grech,Janusz Mi?kiewicztechniques have been proposed, they are not universally efficient in all considered practical situations. There are also contradictory requirements to color image denoising and their priority can be different and strongly dependent on the situation at hand. This also complicates the choice of a prop作者: 痛打 時(shí)間: 2025-3-24 13:58
Maryanthe Malliaris,Assaf Peretzvice (CCD) sensor malfunction, transmission errors, storage faults and difficult acquisition conditions. The presence of noise hampers the automatic processing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise作者: KEGEL 時(shí)間: 2025-3-24 18:29 作者: Fillet,Filet 時(shí)間: 2025-3-24 21:50
https://doi.org/10.1007/978-981-13-0086-8ly well justified since it is consistent with several human visual perception laws and characteristics. It is mathematically and computationally relevant since it allows to consider color images as vectors in an abstract linear space, contrary to the classical color spaces (e.g., RGB and .). The fir作者: 描繪 時(shí)間: 2025-3-25 01:23 作者: organic-matrix 時(shí)間: 2025-3-25 05:24
https://doi.org/10.1007/978-981-13-0086-8ge color images. This chapter presents a real-time implementation of an adaptive contrast-enhancing image dynamic range compression algorithm on a graphics processing unit (GPU) for color image enhancement. To achieve this purpose, an image-dependent nonlinear intensity transfer function is first pr作者: STRIA 時(shí)間: 2025-3-25 07:56
https://doi.org/10.1007/978-981-13-0086-8ther discern colors nor adapt to different imaging environments as a human does. Consequently, it may produce images having a bad visual effect under a bad imaging environment. Color equalization and color constancy are two efficient and common techniques for image visual effect enhancement. In this作者: 大約冬季 時(shí)間: 2025-3-25 13:58 作者: famine 時(shí)間: 2025-3-25 18:28 作者: Tartar 時(shí)間: 2025-3-25 21:57
https://doi.org/10.1007/978-981-13-7185-1automatic, without the user’s effort, however, the semi-automatic methods are usually more flexible and useful. In this chapter, we start with a literature overview, where we enumerate and shortly characterize numerous state-of-the-art methods. Then, we present the details of one fully automatic and作者: 的’ 時(shí)間: 2025-3-26 00:14
Facial Aging: a Clinical Classificationlor space more suitable for compression, subsequent analysis, or visualization. The choice of this transform becomes even more critical when operating in distributed and low-computational power environments, such as visual sensor networks or remote sensing. Data-driven transforms are rarely used due作者: Arthr- 時(shí)間: 2025-3-26 08:17
Emre Celebi,Michela Lecca,Bogdan SmolkaFocuses on enhancement of color images/video.Addresses algorithms for enhancing color images and video.Presents coverage on super resolution, restoration, in painting, and colorization.Includes supple作者: 旋轉(zhuǎn)一周 時(shí)間: 2025-3-26 11:15 作者: 讓你明白 時(shí)間: 2025-3-26 14:51 作者: puzzle 時(shí)間: 2025-3-26 16:54 作者: Hyperopia 時(shí)間: 2025-3-26 22:14 作者: compel 時(shí)間: 2025-3-27 02:03 作者: 現(xiàn)存 時(shí)間: 2025-3-27 07:24
Spatial and Frequency-Based Variational Methods for Perceptually Inspired Color and Contrast Enhancllumination changes. It is also highlighted that the variational setting provides a unified framework where existing perceptually inspired color improvement models can be seen as particular instances. In the end, the wavelet version of this framework is discussed in detail.作者: JEER 時(shí)間: 2025-3-27 12:48
Color Management and Virtual Restoration of Artworks,applications. A short review of color perception interpretation in the history of art is also outlined in order to clarify the problems arising in the documentation and knowledge of artistic works. Many examples of applications to books, paintings, sculptures, and mosaics are shown and discussed wit作者: abracadabra 時(shí)間: 2025-3-27 14:06 作者: BALK 時(shí)間: 2025-3-27 19:11
Color Equalization and Retinex,his theory was proposed about 40 years ago, it still attracts much interest and many implementations are available. Here we provide a survey of different Retinex based algorithms, including the original version.作者: Endearing 時(shí)間: 2025-3-28 01:41
Enhancement of Image Content for Observers with Colour Vision Deficiencies,at is, daltonization methods, for adapting confusing image colours perceived as the same by colour-deficient viewers and, thus, enhancing their perceived image quality and accessibility in retrieving information.作者: FLIRT 時(shí)間: 2025-3-28 05:53 作者: Ballad 時(shí)間: 2025-3-28 07:44 作者: 煩人 時(shí)間: 2025-3-28 12:14
https://doi.org/10.1007/978-981-13-0086-8llumination changes. It is also highlighted that the variational setting provides a unified framework where existing perceptually inspired color improvement models can be seen as particular instances. In the end, the wavelet version of this framework is discussed in detail.作者: thrombosis 時(shí)間: 2025-3-28 17:14 作者: BRAWL 時(shí)間: 2025-3-28 21:48
https://doi.org/10.1007/978-981-13-0086-8 is implemented on the GPU by using NVIDIA Compute Unified Device Architecture (CUDA), achieving real-time performance in processing high-resolution color images. The proposed GPU-accelerated color image enhancement method had been implemented on a NVIDIA NVS 5200M GPU. Experimental results show tha作者: AORTA 時(shí)間: 2025-3-29 01:45 作者: 上下倒置 時(shí)間: 2025-3-29 03:43
https://doi.org/10.1007/978-981-13-0086-8at is, daltonization methods, for adapting confusing image colours perceived as the same by colour-deficient viewers and, thus, enhancing their perceived image quality and accessibility in retrieving information.作者: 議程 時(shí)間: 2025-3-29 11:00 作者: bourgeois 時(shí)間: 2025-3-29 12:14 作者: Abjure 時(shí)間: 2025-3-29 16:16
Maryanthe Malliaris,Assaf Peretzrocessing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise and they have been widely studied in the literature.作者: 使?jié)M足 時(shí)間: 2025-3-29 23:07
Impulsive Noise Filters for Colour Images,rocessing of digital images and also affects their visualization quality. In this context, colour images may be contaminated by several types of noise and they have been widely studied in the literature.作者: 打折 時(shí)間: 2025-3-30 02:24
Dariusz Grech,Janusz Mi?kiewiczalyzed and compared using only standard metrics (criteria) often ignoring recently designed visual quality metrics. Finally, before starting applying image denoising, it is good to understand how efficient can it be and is it worth to perform such afiltering. Then, the task of predicting denoising efficiency becomes very interesting.作者: Interregnum 時(shí)間: 2025-3-30 06:45 作者: PUT 時(shí)間: 2025-3-30 11:42
DCT-Based Color Image Denoising: Efficiency Analysis and Prediction,alyzed and compared using only standard metrics (criteria) often ignoring recently designed visual quality metrics. Finally, before starting applying image denoising, it is good to understand how efficient can it be and is it worth to perform such afiltering. Then, the task of predicting denoising efficiency becomes very interesting.作者: insecticide 時(shí)間: 2025-3-30 12:26 作者: synovitis 時(shí)間: 2025-3-30 16:41
Book 2015 it pertains to contrast enhancement, color correction (equalization, harmonization, normalization, balancing, constancy, etc.), noise removal and smoothing. This book also discusses color and contrast enhancement in vision sensors and applications of image and video enhancement.作者: 細(xì)微差別 時(shí)間: 2025-3-31 00:02
https://doi.org/10.1007/978-3-030-20411-2 categories of the existing demosaicing algorithms. The performance of 12 competing algorithms is compared, thanks to classic criteria. The chapter finishes with some more sophisticated approaches to the demosaicing problem that are currently being actively studied.作者: VOC 時(shí)間: 2025-3-31 02:03
https://doi.org/10.1007/978-981-13-0086-8is chapter, we review the commonly used color correction techniques for MVV, with a focus on coding applications. Experimental evaluations of the most prominent methods are provided to give the reader the opportunity to compare their performances in terms of visual effect, coding performance, and rendering quality.
