{"id":1121,"date":"2013-02-25T07:41:56","date_gmt":"2013-02-25T07:41:56","guid":{"rendered":"http:\/\/harvestimaging.com\/blog\/?p=1121"},"modified":"2013-02-25T20:45:34","modified_gmt":"2013-02-25T20:45:34","slug":"international-solid-state-circuits-conference-2013-4","status":"publish","type":"post","link":"https:\/\/harvestimaging.com\/blog\/?p=1121","title":{"rendered":"International Solid-State Circuits Conference 2013 (4)"},"content":{"rendered":"<p>\u201cA 3D vision 2.1 Mpixels image sensor for single-lens camera systems\u201d, by S.Koyama of Panasonic.\u00a0 The basic idea is to perform depth sensing by means of a \u201cstandard\u201d 2D image sensor.\u00a0 To do so, every pair of horizontal pixels is provided with one lenticular lens (cylindric).\u00a0 This is resulting in the structure that one pixel of the pair \u201clooks\u201d to the left incoming beams (= left eye), and the other pixel of the pair \u201clooks\u201d to the right incoming beams (= right eye).\u00a0 Based on the difference in information, the depth can be measured.\u00a0 Simple idea, but a few important items need to reported :<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The standard Bayer pattern is no longer applicable, because the two paired pixels need to have the same color.\u00a0 So the CFA is a kind of Bayer pattern that is stretched in horizontal direction across two pixels,<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The real difficult part of this concept is located in the digital micro-lenses that are located on every individual pixel and that are located between the silicon and the lenticular lens.\u00a0 These digital micro-lenses are\/were described elsewhere, but it looks that they are key to this idea, especially for the pixels that are situated towards the edges of the image sensor,<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The method works only with low F numbers for the main lens (e.g. F1.4).<\/p>\n<p>Measurement results show that the \u201cleft eye\u201d and the \u201cright eye\u201d really can discriminate between various angles of incidence.\u00a0 Their peak sensitivity is 2 times larger than a classical pixel, basically showing that 3D is working very efficiently (2 times is the best you can get because you bring all information from 2 pixels into a single pixel).<\/p>\n<p>\u201cA 187.5 uVrms read noise 51 mW 1.4 Mpixel CMOS image sensor with PMOSCAP column CDS and 10b self-differential offset-cancelled pipeline SAR-ADC\u201d, by J. Deguchi (Toshiba).\u00a0 By using pMOS capacitors in the columns to perform CDS, 50 % of the area can be saved because of the high intrinsic capacitance value of the pMOS.\u00a0 The capacitors were not only applied in the CDS circuitry but also elsewhere in the controller, resulting in a lower area and a power reduction of 40 %.\u00a0 A similar story for the CDAC in the ADC : a size of 50 % and a power of only 20 % compared to previously reported devices.\u00a0 Besides all this good news, a noise level of 4.5 electrons was shown (take into account that the conversion gain is \u201conly\u201d 41.8 uV\/electron).<\/p>\n<p>Albert, 24-01-2013.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cA 3D vision 2.1 Mpixels image sensor for single-lens camera systems\u201d, by S.Koyama of Panasonic.\u00a0 The basic idea is to perform depth sensing by means of a \u201cstandard\u201d 2D image sensor.\u00a0 To do so, every pair of horizontal pixels is provided with one lenticular lens (cylindric).\u00a0 This is resulting in the structure that one pixel [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1121","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1121"}],"version-history":[{"count":3,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1121\/revisions"}],"predecessor-version":[{"id":1124,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=\/wp\/v2\/posts\/1121\/revisions\/1124"}],"wp:attachment":[{"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/harvestimaging.com\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}