# Novel Image State Ensemble Decomposition Method for M87 Imaging
## 1 Introduction
The ISED method is not limited to astronomical applications but can be applied to any color image or video. This novel method is akin to [PERSON]'s cat [5; 6] but with a deterministic twist. There is a cat in a closed box, but with ISED, I can simply change the color of the cat, decide if the cat has no hair, or make part of the cat invisible. Maybe at a certain instance in time the cat is purring, sitting, or sleeping. The cat can move around freely and be relatively comfortable inside its box. We know the cat is inside, but we do not know its current state until we decide to peek inside the box. An image is similar to [PERSON]'s cat in that the light collected from an image is a record of various flavors of photons that are counted, stored, and allocated to a specific location in order to form a record of the photons. This record is the image, which I reiterate is the representation of an occurrence of photonic information observed over some time interval. Since the image is a record of photonic information, the use of statistics should be employed to remove a finite collection of photonic information from the image or in other words remove discrete quanta. Additionally, all the ISED images analyzed in this paper along with Supplementary ISED-generated images and ISED filter images can be accessed online at [7]. Currently, the Supplemental images are related to the topics of art, astronomy, general photography, histology, and mineralogy [7]. General relativity was introduced by [PERSON] in 1917 [8]. One result of the [PERSON] field equations (EFEs) was the theoretical concept of black holes. [PERSON] noticed this bizarre effect in the EFEs [8]. From this, [PERSON] calculated that if an immense nonrotating mass is present, an object can exist with gravitational forces so strong that even light, the fastest known object in the universe, could not escape the object's grasp [9]. Prior to the validation of the existence of black holes, [PERSON] coined the term \"black hole\" in a lecture [10]. This theoretical construct was later confirmed by [PERSON] et al. [11] and [PERSON] [12] to be a physical reality when they observed Cygnus X-1. Black holes are fascinating, mysterious, and have captivated many scientists. In a recent study, the Event Horizon Telescope collaboration produced the first image of a black hole [13]. It was presented alongside photographs taken by the Spitzer Space Telescope (SST) as an inset [14]. These SST images were used as the input data for this study. In order to improve the visualization of post-processed SST images and thus reveal more informative visual details and improve our understanding of the nature and structure of the universe, we propose ISED. ISED uses a series of cross-channel relations made between the red (R), green (G), and blue (B) color channels. A pixel in a modern monitor uses additive mixing color theory, wherein colors can be added and mixed from three primary colors: red, green, and blue (RGB). Additive mixing theory was introduced by [PERSON] in \"On the Theory of Compound Colours, and the Relations of the Colours of the Spectrum\" [15]. The standard monitor operates with the pixels being a certain ratio/mix of varying intensities within the RGB color channels. This system is scaled from 0 to 255, in which 0 is black and 255 is the highest intensity in the color channel. Therefore, a standard pixel can represent 256\({}^{3}\) different colors. These pixel intensities combine in a matrix to form an image. The cross-channel relationship in ISED is designed to be a possible set of states. The ensemble of states can either exist (as \"on\") or not (as \"off\") for the most basic case. These ensemble states can overlap regions of an image that contain unwanted pixel information, such as glare. If a region contains glare biased to a particular color channel, one can reduce the effects by selecting the correct ISED state. This switch choice depends on the desired image outcome and the input image.