Image Color Dimension Reduction. A comparative study of state-of-the-art 🎨 methods

✅ Document 📃 from the year 2️⃣0️⃣1️⃣6️⃣ in the subject Design (Industry 👨‍🏭️, Graphics, Fashion), , course: 2️⃣0️⃣1️⃣6️⃣, language: English 🏴󠁧󠁢󠁥󠁮󠁧󠁿, abstract: Color is a human sensation depending on the brains 🧠 response to a specific visual stimulus and ➕ we 👥⬅️ experience color as one 1️⃣ single attribute. Although we 👥⬅️ can 🥫 precisely describe color by measuring its spectral power distribution, this leads to a large degree of highly redundant data. The reason for this redundancy is that the eyes 👀 retina samples color using only three 3️⃣ broad bands, roughly corresponding to red 🔴 (R), green 💚 (G), and ➕ blue 🔵 (B) light 💡, belonging to the response of three 3️⃣ type of sensitive cells 📱 (cones) termed L (long), M (media), and ➕ S (short) in relation to the wavelength of frequency band they respond to. The signals 🚦 from these sensors, together with those from the rods (sensitive to intensity only), are combined in the brain 🧠 to provide several different sensations of the color.Color production in digital RGB images is similar in some aspects, like in the usage of three 3️⃣ sensors for R, G, and ➕ B lights 💡, but unfortunately it lacks in sensors for intensity only (i.e. rods) and ➕ also in an analyzer similar to the human brain 🧠 to interpret contextually and ➕ psychologically the signal 🚦 from those three 3️⃣ sensors.The above-mentioned characteristics of color production in digital images difficult the process of interpreting color images, neglecting or reducing their chromatic content because this task becomes a problem of dimension reduction, from the...

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