Answer: A máxima variância do histograma.

## Explanation Histogram equalization is a technique in image processing that enhances the contrast of an image by redistributing the intensity values. The key effects are: 1. **Maximum histogram variance**: Histogram equalization aims to spread out the most frequent intensity values, which results in maximizing the variance of the histogram. This is achieved by transforming the intensity values so that the output image has a uniform distribution of intensities. 2. **Contrast enhancement**: By maximizing the histogram variance, the technique enhances the contrast of the image, making details more visible. 3. **Why other options are incorrect**: - **A**: Histogram equalization provides maximum enhancement of details, not minimum. - **B**: While histogram equalization involves intensity transformations, it's not specifically a color domain transformation (it typically works on grayscale or individual color channels). - **C**: Histogram equalization doesn't directly affect compressibility; it may actually reduce compressibility by increasing entropy. - **D**: Histogram equalization improves discriminability of objects by enhancing contrast, not reducing it. Therefore, the correct answer is **E** - A máxima variância do histograma (Maximum histogram variance).

Author: Danyel Barboza