EP01_08 — 🎨 Intensity Range Remapping

1.18.11 EP01_08 🎨 Intensity Range Remapping

In this activity, you must write a program that applies distinct linear transformations to different intensity regions of the image.

Read two integers L and C, representing the matrix dimensions.
Read the integers T (threshold), δ₁ (delta 1), and δ₂ (delta 2).
Read the integer values of the matrix.
For each pixel \(p\), apply the conditional remapping rule:

\[\text{result} = \begin{cases} p + \delta_1 & \text{if } p < T \\ p + \delta_2 & \text{if } p \ge T \end{cases}\]

Print the resulting matrix with the new intensity values.

📌 Important:

δ₁ is the offset applied to dark pixels (below the threshold).
δ₂ is the offset applied to bright pixels (greater than or equal to the threshold).
Test cases guarantee that the result will always be within the valid range of 0 to 255, so there is no need to handle saturation or rounding.
The output must preserve the matrix structure (L rows and C columns).

1.18.11.1 🧠 Conditional Pixel Transformation

In Digital Image Processing (DIP), we often need to handle regions independently. This technique allows, for example, brightening only the shadows of a photograph (increasing dark pixels) without blowing out the highlights of already bright areas, or vice versa.

Intensity Range	Condition	Operation
Dark Pixels	\(p < T\)	\(p + \delta_1\)
Bright Pixels	\(p \ge T\)	\(p + \delta_2\)

1.18.11.2 📋 Task (VPL specification)

Input:

The first line contains the integers L and C.

The second line contains the integers T, δ₁, and δ₂.

The following lines contain the matrix elements.

Output:

The transformed matrix with L rows and C columns, with space-separated values.

1.18.11.3 📌 Examples

Input	Output	Observation
`2 4` `128 60 -40` `0 100 150 255` `80 128 200 30`	`60 160 110 215` `140 88 160 90`	Pixels < 128 add 60. Pixels ≥ 128 subtract 40.

🎛️ Simulator EP01_08: Conditional Range Remapping p < T → p + δ₁ | p ≥ T → p + δ₂

Adjust the separation threshold (T) and the brightness shifts (δ₁ and δ₂) to apply differentiated intensity transformations in the dark and light regions of the image.

T (Threshold) 128

δ₁ (Darks, p < T) +60

δ₂ (Lights, p ≥ T) -40

Original Input (p)

Transformed Result

      Active rule: p < 128 → p + (+60)  |  p ≥ 128 → p + (-40)
    

Figure 1.18: EP01_08 Simulator: Conditional Range Remapping (Brightness and Contrast by Threshold)

# your solution

TestSuite("EP01_08.py").run()

✔️ EP01_08.cases already exists in casos/
📋 8 case(s) loaded from casos/EP01_08.cases
💥 File EP01_08.py not found.