Determination of optimal formats for digital image compression
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Abstract
The objective was to determine the influence of different image formats and tools used for compression on the final size of the images, to know which are the optimal formats for compression. The sample was made up of five digital image files with BMP extension, taken in different scenarios and at different times at the researcher's discretion. The technique used was the analysis of digital image files and as an instrument a double input matrix, where the conversions of BMP files to six different extensions of image files were registered, with four different tools for manipulation of image files. The experimental design was factorial, where the two factors were the image compression formats and tools and the dependent variable the final image file size. Factorial ANOVA statistical analysis was applied with a = 0.05. It was obtained that the format of smaller size was the JPG when using as tool the Illustrator and the one of greater size the one of greater extension the PSD also obtained with the Illustrator. The statistical analysis showed that the format factor significantly influences the final size of the images (p < 0.05) and the tool factor does not show significant influence on the size of the images (p > 0.05), nor is the interaction between the factors significant. It is concluded that regardless of the tool used, it is the image format that influences the final size.
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