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Everything about Color histogram
Representation of the distribution of colors in an image
In image processing and photography, a color histogram is a representation of the distribution of colors in an image. For digital images, a color histogram represents the number of pixels that have colors in each of a fixed list of color ranges that span the image's color space. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Color histogramA 5-minute orientation
- Skim a recent paper: Low light enhancement algorithm for color images using intuitionistic fuzzy sets with histogram equalizationInfluential work since 2022
- Pick up a classic book: Digital PhotographyThe most-reprinted book on the subject
- Read the landmark paper: Content-based image retrieval using color difference histogramCited 425 times
- Go sideways: Histogram equalizationA closely related topic
- Go sideways: Rg chromaticityA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Content-based image retrieval using color difference histogram
Fuzzy color histogram and its use in color image retrieval
ROBUST OBJECT TRACKING USING JOINT COLOR-TEXTURE HISTOGRAM
Color image segmentation using histogram multithresholding and fusion
Fuzzy color histogram-based video segmentation
Fuzzy dissimilarity color histogram equalization for contrast enhancement and color correction
Dual-Color Photon-Counting Histogram
Adaptive-neighborhood histogram equalization of color images
🆕 Influential since 2022
Low light enhancement algorithm for color images using intuitionistic fuzzy sets with histogram equalization
Underwater image enhancement via histogram similarity-oriented color compensation complemented by multiple attribute adjustment
Reversible Data Hiding for Color Images Based on Adaptive Three-Dimensional Histogram Modification
Multiclass Apple Varieties Classification Using Machine Learning with Histogram of Oriented Gradient and Color Moments
A histogram equalization model for color image contrast enhancement
📚 Books worth reading
Digital PhotographyRob Sheppard · 2007
Teach yourself visually digital photographyChris Bucher · 2010
Intelligent Technologies and Engineering SystemsJengnan Juang · 2013
Multimedia Processing, Communication and Computing ApplicationsPunitha P. Swamy · 2013
Emerging Technologies for Information Systems, Computing, and ManagementW. Eric Wong · 2013
Data representations, transformations, and statistics for visual reasoningRoss Maciejewski · 2011
Information HidingMatthias Kirchner · 2013
Visual and multimedia information managementIFIP TC 2/WG 2.6 Working Conference on Visual Database Systems (6th 2002 Brisbane, Qld.) · 2002
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Histogram equalization In image processing, Histogram equalization is a method of contrast adjustment using the image's histogram. Histogram equalization is a specific case of…
- Rg chromaticity The RG chromaticity of the normalized RGB space is a chromaticity space, a two-dimensional color space in which there is no intensity information. In the…
- Color Cell Compression Color Cell Compression is a lossy image compression algorithm developed by Campbell et al., in 1986, which can be considered an early forerunner of modern…
- Grayscale In digital photography, computer-generated imagery, and colorimetry, a grayscale (American English) or greyscale (Commonwealth English) image is one in…
- Color balance In photography and image processing, color balance is the global adjustment of the intensities of the colors (typically red, green, and blue primary colors)…
- Histogram of oriented gradients The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The…
- RGB color model The RGB color model is an additive color model in which the red, green, and blue primary colors of light are added together in various ways to reproduce…
- Octree An octree is a tree data structure in which each internal node has exactly eight children. Octrees are most often used to partition a three-dimensional…