Use log scale for encoding time

Signed-off-by: Robert-André Mauchin <[email protected]>

image-comparison-web/report.html

@@ -230,7 +230,7 @@ <h3>Lossless compression ratio and Weissman score:</h3>
 </tbody>
 </table>
 <h3>Lossy compression and speed</h3>
-<p><img class="graph" alt="Encoding time in function of bits per pixel" src="subset1.encoding_time.(avif,bpg,jxl,mozjpeg,webp,webp2).svg"></p>
+<p><img class="graph" alt="Encoding time in function of bits per pixel" src="subset1.encoding_time.(avif,bpg,jxl,mozjpeg,rav1e,svt-av1,webp,webp2).svg"></p>
 <h2>Lossy metrics</h2>
 <p>For each comparison algorithms, we plot the quality in dB or score in function of the mean bits per pixel on a logarithmic scale. We can then visualize which codec gives the best quality at a given bit per pixel (top left is better).</p>
 <h3>Bits per pixel at equivalent quality according to SSimulacra</h3>

image-comparison-web/report.md

@@ -157,7 +157,7 @@ The following archives contain the raw data in csv format for subset1 and subset
 
 ###Lossy compression and speed
 
-![Encoding time in function of bits per pixel](subset1.encoding_time.(avif,bpg,jxl,mozjpeg,webp,webp2).svg)
+![Encoding time in function of bits per pixel](subset1.encoding_time.(avif,bpg,jxl,mozjpeg,rav1e,svt-av1,webp,webp2).svg)
 
 ##Lossy metrics