Path: utzoo!mnetor!uunet!husc6!hao!gatech!bbn!denbeste From: denbeste@bbn.COM (Steven Den Beste) Newsgroups: comp.sys.amiga Subject: Digi-view praise and a bug Message-ID: <5998@cc5.bbn.COM> Date: 14 Jan 88 14:10:15 GMT Organization: Bolt Beranek and Newman, Inc., Cambridge, MA Lines: 75 I bought myself a Digi-view for Christmas, and also a TV camera. I got the camera they recommend in the manual (Panasonic WV-1410, I think - I'm typing this from work and don't have it here), and I'm running it on a 1000 with an Insider (total 1.5M) with two floppy drives and a Cltd 24M HD. Since Digi-view implicitly comes with a "dongle" (the conversion module) they don't copy protect anything, so I copied the software onto my HD and it works BEAUTIFULLY! I am astounded! I've been using it continuously ever since 12/25 (and I'll have you know it was a significant struggle to keep from opening it before then). I've had no gurus, and only one strangeness has shown up - which is pretty remarkable for a software package as complex as this one. I can recommend this product without qualifications for quality and features and useability. (Some of the display modes are a little slow, but since I understand some of what they are doing, I'm surprised they are as fast as they are - if I had written them they would have been ten times slower! Nonetheless, I wonder: Would "sharpness" and "saturation" run faster with a 68881?) That one strangeness: In order to avoid any danger of etching the video camera, I've taken to converting 7-10 pictures at a time and storing them in ".RGB" format (which takes between 250K and 300K per picture - DAMN HD's are nice), then powering down and lens-capping the camera and going back and post-processing them to convert into HAM format. When I do this, the picture that results has a distinct green tinge. I originally thought I was being zapped by the auto-exposure of the camera combined with too wide an iris setting (which causes the camera to throttle down the red more than the green, so the net effect is a relative boost in green. Indeed I was doing this, but I have figured out how to avoid that and it isn't now my problem. Let me describe the experiment I did last night to prove to myself that there was a problem: I captured a picture (after making sure the light levels weren't too high) and with all "color" settings at neutral saved a "4096" HAM image. I then saved the "RGB" and executed "new". I reloaded the "RGB" and saved another "4096" HAM image, then exited (actually used LEFT-A-N to get back to my main CLI) ran "show" (PD, so far as I know) and looked at both. The second image was unquestionably dimmer, less contrasty and greener than the first. Just to prove that this isn't subjective, the second HAM file was also about 2.5% smaller than the first, though it could just as well have been larger. The point is that given the same data, I would have expected the same output or very similar (given the random effects of dithering, set to 1). I did this with 320*400 mode. The info-frame says "Digi-View V2.0 Rev 0". I have a conjecture as to what has happened: There is a function they call after a camera capture which normalizes the color. You can see its results in the second B/W sweep after the capture of each color, usually in the image getting more contrasty and less layered. The "RGB" file format should be, and is advertised in the manual as being, the actual raw capture data. I conjecture that when an RGB file is read this same function should be, but isn't being, called. As a result, you are now operating on the unnormalized data the second time - and you don't have a manual control which allows you to do this normalizing by hand (I think it is multiplicative, and the color sliders appear to be additive). The results have always been less satisfactory, since in order to get something approaching a normal color I have to run the contrast, brightness, saturation and color sliders all over the place - and by doing this effective data is lost and the picture gets noticable layers. If there are other Digi-View owners out there, I would appreciate it if they would run the same experiment and see if they get the same result. Is it me, or is it Memorex? -- Steven C. Den Beste, Bolt Beranek & Newman, Cambridge MA denbeste@bbn.com(ARPA/CSNET/UUCP) harvard!bbn.com!denbeste(UUCP)