docs: add checkProcessable tables (#95)

Author: EscapedGibbon

docs/Features/Comparison/Addition.md

@@ -24,6 +24,14 @@ mask = mask.add(mask2);
 Images must have the same size, channel number and bit depth for compatibility reasons.
 :::
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `false`         |
+
 ### Parameters and default values
 
 - [`otherImage`](https://image-js.github.io/image-js-typescript/classes/Mask.html#subtract 'github.io link')

docs/Features/Comparison/Hypotenuse.md

@@ -14,6 +14,14 @@ $$
 
 Where $$Value1$$ is a value of the pixel in the first image and $$Value2$$ is the value of the second one. The goal is to identify which points in one image correspond to points in another image, which is essential for various computer vision and image processing applications. Calculating hypotenuse value between two pixels is also necessary for image aligning and feature matching.
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `otherImage`

docs/Features/Comparison/Subtraction.md

@@ -25,6 +25,14 @@ mask = mask.subtract(mask2);
 Both masks must have the same size for compatibility reasons. Images must have the same size, channel number and bit depth.
 :::
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[1,8,16]`      |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `false`         |
+
 ### Parameters and default values
 
 :::info

docs/Features/Filters/Blur.md

@@ -15,6 +15,14 @@ Blur, also known as average blur or box blur, is a simple image processing techn
 Box blur is particularly effective in reducing [salt-and-pepper](https://en.wikipedia.org/wiki/Salt-and-pepper_noise 'wikipedia link on salt and pepper noise') noise (random black and white pixels) and minor imperfections in an image. However, it also leads to loss of finer details, so the choice of [kernel](../../Glossary.md#kernel) size is important.
 More advanced blurring techniques, such as [Gaussian blur](./Gaussian%20Blur.md 'internal link to gaussian blur') or [bilateral filter](https://en.wikipedia.org/wiki/Bilateral_filter 'wikipedia link on bilateral filters'), are often used for better results in various applications.
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `options`

docs/Features/Filters/Derivative.md

@@ -12,6 +12,14 @@ Derivative filter is a special case of a gradient filter, therefore it uses grad
 
 <DerivativeDemo />
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | `[1]`           |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `options`

docs/Features/Filters/Gaussian Blur.md

@@ -14,6 +14,14 @@ The key idea behind Gaussian blur is that it simulates a diffusion process, wher
 
 <GaussianBlurDemo />
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 With Gaussian blur there are two ways of passing options: through sigma and through sigmaX and sigmaY. Main difference is that in first case sigma is the same for X and Y directions.

docs/Features/Filters/Gradient.md

@@ -18,6 +18,14 @@ The gradient filter enhances edges by detecting abrupt changes in pixel intensit
 Keep in mind that gradient filters can be sensitive to noise and might result in false edges or emphasize noise. Smoothing the image (e.g., using Gaussian blur) before applying the gradient filter can help mitigate this issue.
 :::
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | `[1]`           |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `options`

docs/Features/Filters/Grayscale.md

@@ -14,6 +14,14 @@ _Converts color image into shades of gray._
 
 The grayscale filter essentially eliminates the color information from the image and retains only the luminance or brightness values. This type of image is often used in situations where color is not essential for understanding or conveying the visual information. Grayscale images can emphasize the tonal contrast and structural details of a scene, making them particularly useful for tasks like analyzing textures, patterns, and lighting conditions.
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | `[3]`           |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `options`

docs/Features/Filters/Invert.md

@@ -23,6 +23,14 @@ Parameters and options for Images and Masks are the same.
 
 - `options`
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[1,8,16]`      |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 #### Options
 
 | Property                                                                                  | Required | Default value |

docs/Features/Filters/Level.md

@@ -14,6 +14,14 @@ This process can make details in both dark and bright regions of the image more
 
 <LevelDemo />
 
+### Kinds of images compatible with algorithm
+
+| Image property | What it means              | Possible values |
+| -------------- | -------------------------- | --------------- |
+| `bitDepth`     | number of bits per channel | `[8,16]`        |
+| `components`   | number of components       | any             |
+| `alpha`        | is alpha channel allowed   | `true`          |
+
 ### Parameters and default values
 
 - `options`