[respectfully] Then you probably haven't found the optimal perceptual rendering settings. Once you do I doubt you'd ever like RelCol for fine art purposes. If there's something that you're liking about RelCol that would be fun to discuss and I think Perceptual has an answer for it.
I've talked with the engineers involved with making MP's perceptual rendering intent and I think it's one of the crown jewels that XRite obtained with the Monaco purchase. One of many that they are finally putting into good use...
I frankly don’t see (and haven’t seen) where the current technology, which looks at single, solid color values without placing them in any context can make a decision like this better than I can by viewing the different intents based on image content. By the time the Perceptual or RelCol intent is upon us, the software is just looking at a big pile of numeric values, Lab values no less. It doesn’t treat a black dog on coal, a white cat on snow or a very colorful scene any differently, it has no idea about how these thousands or millions of solid squares react next to each other as a visual context.
I’ve got access to the same newer tools as you, at least in terms of those crown jewels, nothing has convinced me that I should blindly pick one rendering intent.
Here’s an image, its nothing special but its an image composed of lots of colored pixels and a rendering intent makes them look different. Its my image, so I have a strong feeling about which rendering I prefer:
Here’s what a profile knows about this image and nothing more! Its simply the unique Lab values extracted using ColorThink (I decided it wasn’t necessary to provide all 2667 unique values, hopefully we all get the idea here):
SampleID SampleName Lab_L Lab_a Lab_b
END_DATA_FORMAT
NUMBER_OF_SETS 2667
BEGIN_DATA
90856 "1" 15.6204044 21.9335938 13.4414062
81515 "1" 16.7064951 24.90625 21.5703125
90211 "1" 16.4537377 26.0820312 25.0351562
82780 "1" 17.578125 0.1757812 1.46875
82162 "1" 19.4301471 25.15625 20.0742188
81839 "1" 18.950674 19.7851562 20.390625
82171 "1" 20.2925858 8.75 8.4453125
80225 "1" 19.3167892 17.2578125 13.59375
89564 "1" 20.6387868 7.9335938 17.484375
81838 "1" 22.9856005 17.1679688 19.1171875
82172 "1" 24.364277 6.8320312 8.1171875
83104 "1" 24.0211397 0.1328125 1.4140625
81516 "1" 26.5686275 31.3359375 22.1523438
82495 "1" 26.4476103 12.7226562 9.3164062
82779 "1" 27.5827206 0.1523438 1.375
89888 "1" 28.7699142 27.6914062 23.5195312
82818 "1" 30.9957108 16.0585938 10.7304688
80226 "1" 31.2178309 9.2890625 8.90625
89886 "1" 33.2153799 11.9140625 7.390625
82808 "1" 33.6672794 23.3359375 38.3476562
83464 "1" 34.8682598 15.7695312 16.1875
80219 "1" 36.4966299 9.90625 6.4179688
83787 "1" 35.8838848 16.2070312 19.4492188
81197 "1" 36.9148284 12.7421875 12.1015625
81846 "1" 36.3909314 7.7421875 7.4570312
84367 "1" 36.9056373 1.2460938 4.265625
81522 "1" 35.6755515 4.8203125 7.578125
79897 "1" 38.6488971 1.6484375 2.4960938
82781 "1" 37.8691789 0.1132812 1.3085938
79575 "1" 37.5505515 7.3632812 6.6328125
83142 "1" 39.4286152 14.0585938 14.4960938
81198 "1" 38.560049 4.484375 8.625
83141 "1" 38.9583333 15.4765625 12.0351562
82819 "1" 41.0202206 12.4101562 11.796875
83143 "1" 40.401348 11.8710938 7.2148438
80872 "1" 39.5174632 14.3242188 15.8554688
80220 "1" 40.5193015 15.1953125 9.9414062
79577 "1" 40.4764093 9.0078125 7.2382812
83103 "1" 41.5946691 0.1210938 1.2773438
82487 "1" 41.6145833 24.7773438 26.3789062
79900 "1" 42.0036765 16.078125 9.6757812
95346 "1" 43.1724877 19.3242188 25.8203125
80227 "1" 42.901348 7.1484375 6.4453125
82496 "1" 42.5811887 7.4726562 7.1992188
80876 "1" 43.0208333 2.4765625 6.4804688
82494 "1" 43.9154412 14.0507812 9.3320312
81521 "1" 42.8354779 5.0117188 9.9140625
84110 "1" 43.7806373 14.5351562 21.1484375
81844 "1" 42.3284314 6.2226562 11.0429688
82163 "1" 44.4883578 29.5976562 25.1757812
80541 "1" 44.5189951 5.625 2.7109375
82491 "1" 44.263174 8.9101562 13.8867188
95347 "1" 44.2830882 19.0078125 23.2148438
89563 "1" 45.6341912 13.96875 17.1875
82164 "1" 46.4705882 22.25 21.6445312
90239 "1" 44.7518382 2.8671875 6.5976562
80551 "1" 45.713848 6.9257812 6.9140625
63078 "1" 46.0278799 0.0039062 -0.0078125
83105 "1" 45.2665441 0.1171875 1.2578125
84364 "1" 46.596201 0.3515625 5.625
82486 "1" 44.8820466 30.5585938 28.6992188
76324 "1" 46.4828431 0.3320312 -1.1328125
76002 "1" 46.0784314 0.328125 -1.1289062
83137 "1" 45.8287377 10.2460938 13.7695312
82173 "1" 45.5560662 2.859375 6.5703125
84435 "1" 45.1501225 9.1054688 15.140625
85005 "1" 45.1531863 2.8632812 6.5820312
85403 "1" 46.8259804 9.2382812 16.328125
68897 "2" 46.885723 0.3320312 -1.125
81845 "1" 46.6421569 5.6875 8.2226562
79898 "1" 46.8673407 11.4960938 6.9296875
66629 "3" 46.8367034 0.0078125 -0.0078125
85080 "1" 47.432598 15.8125 22.6914062
84359 "1" 47.5199142 4.2695312 8.2656