The im/possible BLOB as installed at “Temporal Stack: the Deep Sensor” in Guizhou, China. Curated by Iris Long and HE Zike (2021).
Imagine you could obtain an 'impossible' image of any object or phenomenon that you think is important,
with no limits on spatial, temporal, energy, signal/noise or cost resolutions.
What image would you create?
(the answer can be a hypothetical image of course!)
with no limits on spatial, temporal, energy, signal/noise or cost resolutions.
What image would you create?
(the answer can be a hypothetical image of course!)
This was the question I asked every scientist I spoke to during my Arts at CERN/Collide Barcelona residency (2019-2020). As a result of this exploration, I now have a collection of Im/Possible images, that I organise in a low poly rendition of the unquantifiable BLOB of Im/Possible images. Some of these images would have never found their way to our eyes; they would have remained impossible, only to exist in the hypothetical realms outside the BLOB.
The BLOB (Binary Large OBject) gives a home to the collection of Im/Possible images that all together illustrate the concept of the impossible image and the relationships between affordance, resolution and compromise. As different Axes of Affordance (X,Y,Z and α) cut the BLOB, they define what is possible to resolve, and what images are compromised, or in other words, will never be rendered. While normally these compromised images would never find their way to our eyes, the hypothetical realms of the BLOB offer pasture to these impossible renders.
The BLOB of Im/Possible Images is made in commission for Haus der elektronischen Künste Basel (HEK) and uses the NewArt.city platform. In the summer of 2021 Lothringer 13 Halle (München) organised a real life exhibition of Im/Possible images.
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作品描述（也在网站上）：
想象一下，您可以获得您认为重要的任何对象或现象的“不可能”图像，而不受空间、时间、能量、信号/噪声或成本分辨率的限制。你会创造什么样的形象？
（答案当然可以是一个假设的图像！）
想象一下，您可以获得您认为重要的任何对象或现象的“不可能”图像，而不受空间、时间、能量、信号/噪声或成本分辨率的限制。你会创造什么样的形象？
（答案当然可以是一个假设的图像！）
这是我在欧洲核子研究所巴塞罗那驻留期间问过的每一位与我交谈过的科学家的问题。在BLOB项目中，我展示了这项研究为我打开的一些见解。
BLOB（二进制大对象）为Im/Possible图像集合提供了一个家，这些图像共同说明了不可能的图像的概念以及可见性的边际、分辨率和转换中的折中与损失之间的关系。
当不同的可见性阈值轴（X、Y、Z 和 α）切割 BLOB 时，它们定义了哪些是可能解析的，哪些图像是损失的，或者换句话说，是永远不会被呈现的。尽管通常情况下，
这些损失的图像永远不会出现在我们的眼前，但BLOB的假设领域为这些不可能的渲染提供了可能性。