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This experiment was conducted by surveying ninety-six people, 48 males and 48 females, to complete a short survey. The survey asked them if they were color blind and whether they were male or female. They were then given five color cards (blue, green, pink, purple and yellow) and ordered the sample colors from their favorite to least favorite on a scale of 1-5.

As we all know, color is the voice for the artist 's sentiment. It makes up the appearance of a picture. Color is the decisive factor in depths of the two-dimensional plane of the artwork, making the viewer feel physically and mentally attracted, or the context of things - the phenomenon the author wants to present. Colors have been around for a long time, but there is not a common definition for colors. And perhaps humans are one of the luckiest creatures that can identify colors. Often, the recipient 's eye knows a myriad of colors and colors that always change based on the relationship between light and perspective. In art, color creates a sense of

Shi Et al [13] used a local projection profile at each pixel of the image, and transform the original image into an adaptive local connectivity map (ALCM). For this process, first the gray scale image is reversed so the foreground pixels (text) have idensity values of up to 255. Then the image is downsample to ¼ of each size, ½ in each direction. Next a sliding window of size 2c scans the image from left to right, and right to left in order to compute the cumulative idensity of every neighborhood. This technique is identical to computing the projection profile of every sliding window, (i.e. counting the foreground pixels), but instead of outpiting a projection profile histogram, the entire sliding window sum is saved on the ALCM image. Finaly

hue and saturation, but not with filters or composite effects. I don't do any photo composition

Analogue color is a color harmony that next to each other on the color wheel. The titled trees and forest in the foreground move to the cultivated field in the mid-ground thought the analogue hues of shade green, green, green-yellow, and saturated yellow in green. Meanwhile, the thunderstorms on the left move to the clear sunny sky on the right in the background thought the change of value from dark to white with light blue. Cole used the combination of yellow, green and blue crosses from cool to warm on the color wheel well decorate the graduate change of the objects from near to further. The colors in depth express the shade of dark and light help viewers understand the movement of object in three-dimension space. Especially, the dark black thunderstorm and contrast the tint white clear sky, the shade green forest contrast the saturated yellow-green field, in which the use of the contrast of light and dark, warm and cool in the images symbolize the ominous feeling in the nature God sending a thunderstorm warning or punishes Americans in the blasted trees, but also metaphor the brightness future of

The Color Code profile was created by Dr. Taylor Hartman, who believed that precise are divided by four colors. Throughout his research studies and experiences that he conducted over the years he assigned individuals to a specific color based on their personality, behavior, and actions. The four colors that Hartman used for the color code profile were red, blue, white and yellow. These different colors were all possibilities for an individual to have and were also driven by a unique motivating force to keep them well grounded. For the people who has a red personality, Hartman said that they were driven by the force of power. Red personalities are usually dynamic and direct, assertive and very quick to make decisions. The concept of intimacy

Look how vibrant the colours are. Each one pops, and although many people underestimate the power of visual storytelling, they do so at their peril. Because visuals – and in particular, colour – plays a huge role in how our ape-like minds tick.

For instance, the color red is placed next to green to create a different feeling than the color

False-coloured images in videos S1 and S4 were highlighted by adding to the original images a red overlay image that was an estimate of the rate of change in the image. To compute the overlay image, we

Color plays a prominent role in the visual symbolic sense by providing a meaning, an interpretation, and establishing a tone for

Lastly, a huge component to a photograph that aids in arousing emotion is color, bringing out different emotions whether color is present or not.

1)Homayoun Bagherinia, Roberto Manduchi,had proposed the for University of California, Santa Cruz”A novel approach for color barcode decoding using smartphones”

incorporates three cases, specifically: added substance homomorphism; include homomorphism, question picture highlight is not encoded; full homomorphism encryption strategy. In [15], Bellafqira et al. proposed a protected usage of a substance based picture recovery (CBIR) technique that works with homomorphic scrambled pictures from which it separates wavelet based picture includes next utilized for ensuing picture examination. Test comes about show it accomplishes recovery execution on a par with if pictures were prepared nonencrypted.

1.1.1. Image processing: Image processing is a methodology to perform some operations on an image, so as to urge an enhanced image or to extract some helpful data from it. It is treated as an area of signal processing where both the input and output signals are images. Images are portrayed as two dimensional matrix, and we are applying already having signal processing strategies to input matrix. Images processing finds applications in several fields like photography, satellite imaging, medical imaging, and image compression, just to name a few. Basically Image processing includes the following steps:  Reading the image via image acquisition tools like cameras, caners etc.  Analysing and manipulating the acquired image to have enhanced quality and locate the data of interest;  Output in which result can be altered image or report that is based on image analysis. Originally image processing is proposed for space exploration and biomedical field. But later on with the increase in use of digital images in everybody’s lives it considered as powerful tool for arbitrarily manipulating images to gain useful information. It defined as the means of conversion between human visual system and digital imaging devices.The main purpose of image processing are listed below: 1. Visualization - Observe the objects which are not visible. 2. Image sharpening and restoration - To increase quality of image. 3. Image retrieval –

Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-today life for various applications. Various techniques have been developed in Image Processing during the last four to five decades. Most of the techniques are developed for enhancing images obtained from unmanned spacecrafts, space probes and military reconnaissance flights. Image Processing systems are becoming popular due to easy availability of powerful personnel computers, large size memory devices, graphics software’s etc. The common steps in image processing are image scanning, storing, enhancing and interpretation.