feat(effects): add cinematic adaptive HDR bloom

[ibgreen-openai]

Goals

• Move reusable luma.gl HDR bloom toward production-quality, deck.gl-friendly post-processing without breaking the existing fixed bloom pipeline.
• Fix the bloom example's WebGPU scene-texture sampling validation failure.

Changes

• Generate adaptive two-, three-, four-, or five-level HDR bloom pyramids from low, medium, high, and ultra quality presets.
• Reconstruct wider levels progressively with matching energy-normalized nine-tap WGSL and GLSL tent filters.
• Expose configurable scatter, soft highlight knee, luminance-weighted firefly suppression, anamorphic stretch, and RGB tint on createBloomShaderPassPipeline.
• Preserve the legacy exported three-level bloomShaderPassPipeline and existing compact bloom effect.
• Give the animated bloom example a texture with both render and sample usage, expose the new quality/cinematic controls, and document the reusable API.
• Cover every quality level, routing/allocation behavior, normalized reconstruction, anisotropic radii, HDR energy preservation, firefly suppression, and tinted pixel output.

Verification

• yarn lint fix
• yarn build
• PLAYWRIGHT_BROWSERS_PATH=/Users/ib/.cache/ms-playwright yarn test-headless modules/effects/test/passes/image-blur-filters/bloom.spec.ts (6 passing Chromium/WebGPU tests)
• Production website build and broader example type checks are running locally.

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